WO2021141634A2 - Systems and methods for using biomarker analysis for personalized skincare - Google Patents

Systems and methods for using biomarker analysis for personalized skincare Download PDF

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Publication number
WO2021141634A2
WO2021141634A2 PCT/US2020/042012 US2020042012W WO2021141634A2 WO 2021141634 A2 WO2021141634 A2 WO 2021141634A2 US 2020042012 W US2020042012 W US 2020042012W WO 2021141634 A2 WO2021141634 A2 WO 2021141634A2
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WO
WIPO (PCT)
Prior art keywords
skin
computing device
skincare product
skincare
product
Prior art date
Application number
PCT/US2020/042012
Other languages
French (fr)
Other versions
WO2021141634A3 (en
Inventor
Ji Lee
Guive BALOOCH
Aude FOUCHER
Nukhet Cavusoglu
Fred Orsita
Edouard MESSAGER
Original Assignee
L'oreal
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US16/528,196 external-priority patent/US11501356B2/en
Priority claimed from US16/528,380 external-priority patent/US11741523B2/en
Application filed by L'oreal filed Critical L'oreal
Priority to JP2022506506A priority Critical patent/JP7467594B2/en
Priority to EP20883687.4A priority patent/EP4004932A2/en
Priority to CN202080062859.9A priority patent/CN114828735A/en
Priority to KR1020227006298A priority patent/KR20220038470A/en
Publication of WO2021141634A2 publication Critical patent/WO2021141634A2/en
Publication of WO2021141634A3 publication Critical patent/WO2021141634A3/en

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
    • A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
    • G01N33/6854—Immunoglobulins
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
    • G01N33/6881—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids from skin
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
    • G05B19/414—Structure of the control system, e.g. common controller or multiprocessor systems, interface to servo, programmable interface controller
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0278—Product appraisal
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0621—Item configuration or customization
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32287—Medical, chemical, biological laboratory
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients

Definitions

  • a system for creating custom skincare products comprises a skincare product formulation device and a skin diagnosis computing device.
  • the skin diagnosis computing device comprises at least one processor and a non-transitory computer-readable medium.
  • the computer-readable medium has computer-executable instructions stored thereon that, in response to execution by the at least one processor, cause the skin diagnosis computing device to perform actions comprising: obtaining protein biomarker concentration information; determining at least one skincare product ingredient based on the protein biomarker concentration information; and transmitting the determined at least one skincare product ingredient to the skincare product formulation device.
  • the skincare product formulation device is configured to receive the determined at least one skincare product ingredient; and dispense a skincare product that includes the at least one skincare product ingredient.
  • a method for creating custom skincare products is provided.
  • a skin diagnosis computing device obtains protein biomarker concentration information.
  • the skin diagnosis computing device determines at least one skincare product ingredient based on the protein biomarker concentration information.
  • the skin diagnosis computing device transmits the determined at least one skincare product ingredient to a skincare product formulation device for creation of a custom skincare product.
  • a system for creating custom skincare products is provided.
  • the system comprises circuitry for obtaining protein biomarker concentration information; circuitry for determining at least one skincare product ingredient based on the protein biomarker concentration information; and circuitry for transmitting the determined at least one skincare product ingredient to a skincare product formulation device for creation of a custom skincare product.
  • a computer-implemented method of providing a skincare product recommendation for a subject obtains protein biomarker concentration information.
  • the computing device determines at least one skin trend based on the protein biomarker concentration information.
  • the computing device determines at least one skincare product associated with the at least one skin trend.
  • the computing device presents a recommendation of the at least one skincare product via a display.
  • a system for providing a skincare product recommendation for a subject comprises circuitry for obtaining protein biomarker concentration information; circuitry for determining at least one skin trend based on the protein biomarker concentration information; circuitry for determining at least one skincare product associated with the at least one skin trend; and circuitry for presenting a recommendation of the at least one skincare product via a display.
  • a computing device configured to provide a skincare product recommendation for a subject, by obtaining protein biomarker concentration information; determining at least one skin trend based on the protein biomarker concentration information; determining at least one skincare product associated with the at least one skin trend; and presenting a recommendation of the at least one skincare product via a display.
  • FIGURE l is a high-level schematic drawing that illustrates various components of an example embodiment of a system according to various aspects of the present disclosure
  • FIGURE 2 is a block diagram that illustrates details of an example embodiment of a biomarker analysis system, a skin diagnosis computing device, and a skincare product formulation device according to various aspects of the present disclosure
  • FIGURE 3 is a flowchart that illustrates a method of generating a custom skincare product according to various aspects of the present disclosure
  • FIGURE 4 is a flowchart that illustrates an example embodiment of a procedure for obtaining protein biomarker concentration information according to various aspects of the present disclosure
  • FIGURE 5 is a high-level schematic drawing that illustrates various components of an example embodiment of a system according to various aspects of the present disclosure
  • FIGURE 6 is a block diagram that illustrates further details of an example embodiment of a biomarker analysis system and an example embodiment of a product recommendation computing device according to various aspects of the present disclosure.
  • FIGURE 7 is a flowchart that illustrates an example embodiment of a method of presenting a skincare product recommendation according to various aspects of the present disclosure.
  • biomarker analysis systems which can operate in an outpatient or clinical setting, can provide a noninvasive measurement of various protein concentrations. These protein concentrations may then be used for various treatment-related purposes.
  • certain proteins that can be detected by these biomarker analysis systems have been identified to be linked to clinical signs of aging, as well as responsiveness/non responsiveness to various active ingredients of skincare products.
  • biomarkers such as YKL40, TG3, LCN1, IDE, and FLG2 have been found to be correlated with clinical signs of aging and responsiveness such as shiny skin, rough skin, uneven skin tone, eye wrinkles, photo aging, loss of elasticity, dilated pores, responsiveness to retinol, and responsiveness to proxylane. Even though these correlations have been determined, the biomarker analysis system only provides raw protein concentration information, and does not use these correlations. What is desired are systems and methods that use the biomarker concentration information to improve skincare product formulations to address predicted skin trends. What is also desired are systems and methods that use the biomarker concentration information to generate skincare product recommendations and to improve such recommendations to address predicted skin trends.
  • FIGURE l is a high-level schematic drawing that illustrates various components of an example embodiment of a system according to various aspects of the present disclosure.
  • the system illustrated in FIGURE 1 is used to obtain a sample from a user 90, to generate skincare product formulations based on skin trends determined based on the sample, and to improve the skincare product formulations over time.
  • one or more sampling disks 102, 104 are used to obtain a sample from the user 90.
  • a sampling disk 104 is then processed by a protein extraction device 208, and a collected sample is applied to a test cartridge 108.
  • the test cartridge 108 is inserted into an immunoassay analyzer device 106.
  • the immunoassay analyzer device 106 determines concentrations of various protein biomarkers that are associated with various skin trends.
  • the protein biomarker concentration information is then provided to a skin diagnosis computing device 110 to determine skin trends that are present. Based on the detected skin trends, a skincare product formulation device 112 may be used to create a custom skincare product to address the skin trends, and the user 90 may apply the custom skincare product. Feedback regarding the effectiveness of the custom skincare product may be provided back to the skin diagnosis computing device 110 or the skincare product formulation device 112 to improve future custom skincare products.
  • FIGURE 2 is a block diagram that illustrates details of an example embodiment of a biomarker analysis system, a skin diagnosis computing device, and a skincare product formulation device according to various aspects of the present disclosure.
  • the biomarker analysis system 202 includes one or more devices that provide a measurement of biomarkers sampled from a subject. In some embodiments, such sampling is done quickly and non-invasively, thus allowing the biomarker sampling to take place in an outpatient clinical or retail environment.
  • the biomarker analysis system 202 includes a sampling disk 204, a test cartridge 206, a protein extraction device 208, and an immunoassay analyzer device 210.
  • the sampling disk 204 comprises a substrate and an adhesive.
  • the adhesive is suitable for removably attaching the sampling disk 204 to the skin of a subject and obtaining a sample of skin cells therefrom.
  • an adhesive device of another shape including but not limited to a rectangle or a tape may be used.
  • a swab, a wipe, or another device usable to collect a skin cell sample may be used instead of an adhesive device.
  • One nondimiting example of a device that is suitable for use as a sampling disk 204 is a D-SQUAME® sampling disk produced by CuDerm Corporation, though other devices could be used.
  • the protein extraction device 208 is configured to remove samples from sampling disks 204 and convert them into a form that can be provided to a test cartridge 206 for processing.
  • the protein extraction device 208 may include a container in which the sampling disk 204 may be placed along with a buffer solution.
  • the protein extraction device 208 may also include a device for agitating, centrifuging, or otherwise processing the container such that the proteins from the collected skin sample are released from the sampling disk 204 and dissolved in the buffer solution.
  • the test cartridge 206 is approximately the size of a credit card, and includes an inlet in which a droplet (approximately 30m1) of the solution containing the proteins from the collected skin sample may be placed.
  • the inlet may be coupled to one or more microfluidic channels through which the solution will automatically flow.
  • antibodies may be deposited within the one or more microfluidic channels, and antigens within the sample may react with the antibodies. This reaction may cause fluorescent beads associated with the antibodies to fluoresce according to the concentrations of the proteins being measured.
  • the immunoassay analyzer device 210 may accept the test cartridge 206, and may measure the concentrations of the proteins of interest within the sample.
  • the immunoassay analyzer device 210 may do so by using laser light to determine which fluorescent beads are fluorescing. Once measured, the immunoassay analyzer device 210 may provide the determined protein concentrations to other components of the system using any suitable technique, including but not limited to presenting the protein concentrations on a display, printing the protein concentrations on a paper receipt, and electronically transmitting the determined protein concentrations to another device.
  • any suitable technique including but not limited to presenting the protein concentrations on a display, printing the protein concentrations on a paper receipt, and electronically transmitting the determined protein concentrations to another device.
  • an immunoassay analyzer device 210 (and its associated test cartridges 206) are the FRENDTM System provided by NanoEnTek Inc.
  • the skin diagnosis computing device 212 is a computing device configured to receive protein concentration information from the biomarker analysis system 202, determine one or more skin trends based on the protein concentration information, and determine recommended product ingredients based on the protein concentration information (and, in some embodiments, additional information gathered by the skin diagnosis computing device 212). The skin diagnosis computing device 212 may then provide the recommended product ingredients to a skincare product formulation device 222 in order to have a specialized product created, and may also receive feedback on the specialized product to improve future product ingredient recommendations.
  • the skin diagnosis computing device 212 may be a mobile computing device such as a smartphone or a tablet computing device. In some embodiments, the skin diagnosis computing device 212 may be a desktop computing device or a laptop computing device. In some embodiments, the skin diagnosis computing device 212 may include more than one computing device, such as a user computing device configured to provide a user interface and one or more server computing devices configured to provide computational functionality (such as the functionality of the trend determination engine 214 and/or the ingredient determination engine 216 described below).
  • the user computing device and the one or more server computing devices may communicate via any suitable communication technology or technologies, such as a wired technology (including but not limited to Ethernet, USB, or the Internet) or a wireless technology (including but not limited to WiFi, WiMAX, 3G, 4G, LTE, or Bluetooth).
  • a wired technology including but not limited to Ethernet, USB, or the Internet
  • a wireless technology including but not limited to WiFi, WiMAX, 3G, 4G, LTE, or Bluetooth.
  • the skin diagnosis computing device 212 includes a trend determination engine 214, an ingredient determination engine 216, a feedback processing engine 218, and a product data store 220.
  • the trend determination engine 214 is configured to receive protein biomarker concentration information from the biomarker analysis system, and to determine skin trends using the correlation information that has been clinically determined.
  • the ingredient determination engine 216 is configured to receive the skin trend information and to determine one or more skincare product ingredients based on the skin trend information. In some embodiments, the ingredient determination engine 216 may directly use the protein biomarker concentration information to determine the skincare product ingredients. In some embodiments, the ingredient determination engine 216 may also collect additional information to inform the selection of skincare product ingredients, including but not limited to presenting a questionnaire that provides environmental information relevant to the user 90. In some embodiments, the ingredient determination engine 216 also provides the selected skincare product ingredients to the skincare product formulation device 222.
  • the feedback processing engine 218 receives information from the user 90 regarding the effectiveness of the custom skincare products created from the instructions provided by the ingredient determination engine 216.
  • the feedback processing engine 218 may store the information, and in some embodiments, the feedback processing engine 218 may cause the stored information to be used to improve selections of skincare product ingredients in the future.
  • the product data store 220 may be used to store relevant information for each user 90, including but not limited to the protein biomarker concentration information, the additional information collected by the ingredient determination engine 216, the skin trends determined by the trend determination engine 214, the skincare product ingredients selected by the ingredient determination engine 216, and the feedback collected by the feedback processing engine 218.
  • the skincare product formulation device 222 is configured to receive an indication generated by the skin diagnosis computing device 212 of ingredients that should be included in a custom skincare product. The skincare product formulation device 222 then generates and packages the custom skincare product.
  • a skincare product formulation device 222 suitable for use in embodiments of the present disclosure is the Custom D.O.S.E. system provided by SkinCeuticals.
  • the skincare product formulation device 222 includes an ingredient dispensing device 224, a compounding device 226, and a packaging device 228.
  • the ingredient dispensing device 224 includes one or more components, such as pumps, droppers, pipettes, and spoons, that are capable of dispensing ingredients from ingredient storage associated with the skincare product formulation device.
  • the compounding device 226 is configured to receive the ingredients from the ingredient dispensing device 224 and to compound a final product by performing actions such as, but not limited to, grinding, agitating, and compacting.
  • the packaging device 228 may be configured to receive the compounded product from the compounding device 226 and place it in a container for delivery to the user 90.
  • the packaging device 228 may also be configured to seal and/or label the container.
  • FIGURE 3 is a flowchart that illustrates a method of generating a custom skincare product according to various aspects of the present disclosure. From a start block, the method 300 advances to procedure block 302, where a procedure is executed wherein protein biomarker concentration information is obtained for a subject by a biomarker analysis system 202. Any suitable procedure may be used to collect the protein biomarker concentration information, including but not limited to the procedure 400 illustrated in FIGURE 4 and described below.
  • a trend determination engine 214 of a skin diagnosis computing device 212 receives the protein biomarker concentration information.
  • the protein biomarker concentration information is received from the biomarker analysis system 202 by the trend determination engine 214 via a network.
  • the network may be a wireless network, including but not limited to a Wi-Fi network, a cellular network (including but not limited to a 3G network, a 4G network, a 5G network, or an LTE network), or a Bluetooth network; a wired network, including but not limited to an Ethernet network, a USB network, or a FireWire network; and/or any other type of network.
  • the protein biomarker concentration information may be displayed by a display device (not illustrated) of the biomarker analysis system 202, and the protein biomarker concentration information may be manually entered into an interface associated with the skin diagnosis computing device 212, or may be captured from the display device of the biomarker analysis system 202 by a camera of the skin diagnosis computing device 212.
  • the trend determination engine 214 determines at least one skin trend based on the protein biomarker concentration information.
  • Preliminary clinical studies have suggested linkage between five biomarkers (FLG2, TG3, IDE, LCN1, and YKL40) and clinical signs of aging.
  • Example predictive performances (ROC curves) of these biomarkers for various clinical signs of aging are as follows:
  • Preliminary studies have also suggested a link between biomarkers and whether a subject is a responder or a non-responder to retinol and proxylane.
  • Preliminary clinical studies have suggested that the YKL40 and TG3 biomarkers indicate that a subject will be responsive to retinol for improvement of underneath eye wrinkles, that the TG3 and LCN1 biomarkers indicate that a subj ect will be responsive to retinol for improvement of full-face dyschromia, and that the YKL40 biomarker indicates that a subject will be responsive to proxylane for improvement of erythrosis.
  • the trend determination engine 214 uses one or more of these clinically suggested relationships and the biomarker concentration information to predict one or more facial aging trends based on the biomarker concentration information. In some embodiments, the trend determination engine 214 may store the biomarker concentration information and/or the predicted facial aging trends/skin trends in the product data store 220.
  • an ingredient determination engine 216 of the skin diagnosis computing device 212 presents a questionnaire to the subject and receives responses to one or more questions of the questionnaire.
  • the ingredient determination engine 216 may present the questionnaire to the subject using any suitable technique.
  • the ingredient determination engine 216 may present a user interface that includes the questions of the questionnaire on a display device (not illustrated) of the skin diagnosis computing device 212, and may receive answers via one or more human-machine interaction (HMI) devices (not illustrated) of the skin diagnosis computing device 212, including but not limited to a touch screen, a keyboard, a mouse, and a voice input system.
  • HMI human-machine interaction
  • the ingredient determination engine 216 may present an audible question via a loudspeaker (not illustrated) of the skin diagnosis computing device 212, and may receive answers via a microphone and a voice recognition system (not illustrated).
  • the questionnaire may be presented on a sheet of paper or other physical embodiment, the subject may answer the questions on the sheet of paper, and the skin diagnosis computing device 212 may scan the answers from the sheet of paper using a camera (not illustrated), laser scanner, or other suitable device incorporated into or communicatively coupled to the skin diagnosis computing device 212.
  • the answers to the questions of the questionnaire are stored on a computer- readable medium accessible by the ingredient determination engine 216.
  • the questions of the questionnaire relate to environmental and/or behavioral factors that are likely to affect either facial aging trends or the effectiveness of a given product ingredient.
  • environmental and/or behavioral factors include, but are not limited to, climate, humidity, stress level, sun exposure, diet, hydration, and smoking status.
  • the ingredient determination engine 216 determines one or more skincare product ingredients based on the protein biomarker concentration information and/or the responses.
  • a particular skincare product ingredient may be associated with a particular skin trend to be addressed, and so the particular skincare product ingredient may be included by default if the skin trend is present based on the protein biomarker concentration information.
  • an optimal combination of skincare product ingredients may be included based on multiple skin trends if some of the skincare product ingredients can be used to address more than one skin trend.
  • a combination of ingredients that achieves optimum overall effectiveness in treating a combination of skin trends may be included if conflicting effects are present (e.g., if a first skincare product ingredient improves a first skin trend and a second skin trend but worsens a third skin trend, a second skincare product ingredient may be included to address the third skin trend, or a third skincare product ingredient may be included that addresses the first skin trend or the second skin trend instead of the first skincare product ingredient to avoid the worsening of the third skin trend).
  • a skincare product ingredient may be chosen based on whether the protein biomarker concentration information indicates a responsiveness or a lack of responsiveness to the particular skincare product ingredient.
  • the selection may be made instead on the basis of the responses to the questionnaire, or on the basis of both the protein biomarker concentration information and the responses to the questionnaire.
  • the ingredient determination engine 216 transmits the one or more skincare product ingredients to a skincare product formulation device 222.
  • the identities of ingredients, quantities of ingredients, relative concentrations of ingredients, type of medium for delivery, instructions for compounding, instructions for application, and/or other relevant information for the compounding and use of the custom skincare product may be transmitted by the ingredient determination engine 216.
  • the information is transmitted electronically using any wired or wireless technology described herein.
  • the ingredient determination engine 216 may cause the information to be presented on a display of the skin diagnosis computing device 212, and the information may be manually entered into an interface of the skincare product formulation device 222.
  • the ingredient determination engine 216 may cause the information to be printed on a hard copy of a form, and the form may be delivered to the skincare product formulation device 222 for entry. In some embodiments, the ingredient determination engine 216 may also store the information in the product data store 220.
  • the skincare product formulation device 222 compounds and packages a custom skincare product including the one or more skincare product ingredients.
  • the skincare product formulation device 222 may combine one or more liquids, gels, powders, solutions, suspensions, serums, or other skincare product ingredients as specified by the information received from the ingredient determination engine 216.
  • the skincare product formulation device 222 may dispense the compounded custom skincare product into a container, may seal the container, and may label the container with one or more of an identification of the user 90, a list of ingredients in the custom skincare product, and a set of instructions for using the custom skincare product.
  • the packaged custom skincare product is provided to the subject for use.
  • a feedback processing engine 218 of the skin diagnosis computing device 212 receives feedback from the subject regarding the custom skincare product.
  • the subject provides feedback as responses to another questionnaire provided by a component of the skin diagnosis computing device 212, such as the feedback processing engine 218.
  • the questionnaire may include subjective feedback from the subject regarding their satisfaction with the custom skincare product.
  • the feedback may be objective feedback received from a skincare professional, or by re-testing the biomarkers using the biomarker analysis system 202.
  • the feedback may be input directly to the skin diagnosis computing device 212, while in other embodiments, the feedback may be collected by another device (such as the biomarker analysis system 202 or a computing device of the subject) and subsequently provided to the skin diagnosis computing device 212 using any suitable technique.
  • another device such as the biomarker analysis system 202 or a computing device of the subject
  • the feedback processing engine 218 updates the ingredient determination engine 216 based on the feedback.
  • the ingredient determination engine 216 may use the feedback to update an effectiveness stored for each ingredient in the custom skincare product (e.g., increasing the stored effectiveness for skin trends that have improved with use, decreasing the stored effectiveness for skin trends that have not improved with use).
  • the ingredient determination engine 216 may use the feedback as training data for a machine learning system that is used to choose the ingredients based on the protein biomarker concentration information, the questionnaire responses, and/or the skin trends.
  • the method 300 then proceeds to an end block and terminates.
  • FIGURE 4 is a flowchart that illustrates an example embodiment of a procedure for obtaining protein biomarker concentration information according to various aspects of the present disclosure.
  • the procedure 402 is a non-limiting example of a procedure suitable for use at block 302 of FIGURE 3 for obtaining protein biomarker concentration information for a subject.
  • the procedure 400 advances to block 402, where a sample is obtained from the subject using a sampling disk 204.
  • the sampling disk 204 may be attached to the skin of the subject via an adhesive.
  • the sampling disk 204 may absorb substances such as sweat, sebum, and other skin secretions.
  • the adhesive of the sampling disk 204 may collect skin cells from the skin of the subject.
  • the sampling disk 204 may be placed on the skin and removed from the skin multiple times to collect the skin sample.
  • a weight or pressure may be applied on top of the sampling disk 204, and/or the sampling disk 204 may be left in place for a specific amount of time, in order to obtain a consistent sample.
  • a protein extraction device 210 extracts proteins from the sampling disk into a solution.
  • the protein extraction device 210 may apply the solution to the sampling disk in order to dissolve the skin cells, skin secretions, or other sampled matter into the solution.
  • the sampling disk 204 may be placed in a buffer solution, and may then be shaken to cause the skin sample to be dissolved in the solution.
  • the solution is deposited onto a test cartridge 206.
  • a droplet of the solution created by the protein extraction device 210 that includes the proteins from the sampling disk is placed in an inlet of the test cartridge 206.
  • proteomic analysis is performed on the test cartridge 206 by an immunoassay analyzer device 208 to generate the protein biomarker concentration information.
  • the test cartridge 206 is inserted into the immunoassay analyzer device 208, which uses laser light to measure the fluorescing beads and thereby determine the concentrations of the protein biomarkers in the skin sample.
  • the procedure 400 then advances to an end block and terminates.
  • the protein biomarker concentration information may be displayed on a screen of the immunoassay analyzer device 208, may be transmitted electronically to another device, or may be provided to another device in some other way in order to allow the protein biomarker concentration information to be used for creating and updating skincare product formulations (or for any other purpose).
  • FIGURE 5 is a high-level schematic drawing that illustrates various components of an example embodiment of a system according to various aspects of the present disclosure.
  • the system illustrated in FIGURE 5 is used to obtain a sample from a user 90, to generate skincare product recommendations based on the sample, and to improve the recommendations over time.
  • one or more sampling disks 102, 104 are used to obtain a sample from the user 90.
  • a sampling disk 104 is then processed by a protein extraction device 208, and a collected sample is applied to a test cartridge 108.
  • the test cartridge 108 is inserted into an immunoassay analyzer device 106.
  • the immunoassay analyzer device 106 determines concentrations of various protein biomarkers that are associated with various skin trends. The determination of the various protein biomarkers is similar to that illustrated in FIGURE 1 and described above.
  • the protein biomarker concentration information is provided to a product recommendation computing device 510 to determine skin trends that are present. Based on the detected skin trends, the product recommendation computing device 510 provides a recommendation for one or more skincare products to address the skin trends. The product recommendation computing device 510 may also receive feedback about the recommended one or more skincare products, and may use this feedback to improve recommendations for future requests.
  • FIGURE 6 is a block diagram that illustrates further details of an example embodiment of a product recommendation computing device according to various aspects of the present disclosure.
  • the system illustrated in FIGURE 5 uses a biomarker analysis system 202 similar to the one illustrated in FIGURE 2 and described in detail above. Accordingly, a biomarker analysis system is not described again here for the sake of brevity.
  • the product recommendation computing device 612 is a computing device configured to receive protein concentration information from the biomarker analysis system 202, determine one or more skin trends based on the protein concentration information, and determine product recommendations based on the protein concentration information. In some embodiments, the product recommendation computing device 612 is also configured to receive feedback on recommended products, which the product recommendation computing device 612 can then use to improve future product recommendations.
  • the product recommendation computing device 612 may be a mobile computing device such as a smartphone or a tablet computing device. In some embodiments, the product recommendation computing device 612 may be a desktop computing device or a laptop computing device. In some embodiments, the product recommendation computing device 612 may include more than one computing device, such as a user computing device configured to provide a user interface and one or more server computing devices configured to provide computational functionality (such as the functionality of the trend determination engine 614 and/or the product recommender engine 616 described below).
  • the user computing device and the one or more server computing devices may communicate via any suitable communication technology or technologies, such as a wired technology (including but not limited to Ethernet, USB, or the Internet) or a wireless technology (including but not limited to WiFi, WiMAX, 3G, 4G, LTE, or Bluetooth).
  • a wired technology including but not limited to Ethernet, USB, or the Internet
  • a wireless technology including but not limited to WiFi, WiMAX, 3G, 4G, LTE, or Bluetooth.
  • the product recommendation computing device 612 includes a trend determination engine 614, a product recommender engine 616, a display device 618, and a product data store 620.
  • the trend determination engine 614 is configured to receive protein biomarker concentration information from the biomarker analysis system, and to determine skin trends using the correlation information that has been clinically determined.
  • the product recommender engine 616 is configured to receive the skin trend information and to determine one or more products based on the skin trend information. In some embodiments, the product recommender engine 616 may directly use the protein biomarker concentration information to determine the one or more products. In some embodiments, the product recommender engine 616 may also collect additional information to inform the selection of the one or more products, including but not limited to presenting a questionnaire that provides environmental information relevant to the user 90. In some embodiments, the product recommender engine 616 may also collect feedback from the user 90 regarding the selected one or more products, and may use that feedback to improve recommendations for future products for the user 90 and for other users.
  • the display device 618 may be an LED display, OLED, display, or other type of display that presents a user interface to the user 90.
  • the user interface may include presentations of the recommended products, and may include a form or other type of interface that allows the user 90 to provide feedback for the recommended products.
  • the product data store 620 may be used to store relevant information for each user 90, including but not limited to the protein biomarker concentration information, the skin trends determined by the trend determination engine 614, the one or more products recommended by the product recommender engine 616, and the feedback collected by the product recommender engine 616.
  • FIGURE 7 is a flowchart that illustrates an example embodiment of a method of presenting a skincare product recommendation according to various aspects of the present disclosure. From a start block, the method 700 advances to procedure block 702, where a procedure is executed wherein protein biomarker concentration information is obtained for a subject by a biomarker analysis system 202. Any suitable procedure may be used to collect the protein biomarker concentration information, including but not limited to the procedure 400 illustrated in FIGURE 4 and described above.
  • a trend determination engine 614 of a product recommendation computing device 612 receives the protein biomarker concentration information.
  • the protein biomarker concentration information is received from the biomarker analysis system 202 by the trend determination engine 614 via a network.
  • the network may be a wireless network, including but not limited to a Wi-Fi network, a cellular network (including but not limited to a 3G network, a 4G network, a 5G network, or an LTE network), or a Bluetooth network; a wired network, including but not limited to an Ethernet network, a USB network, or a FireWire network; and/ or any other type of network.
  • the protein biomarker concentration information may be displayed by a display device (not illustrated) of the biomarker analysis system 202, and the protein biomarker concentration information may be manually entered into an interface presented by the display device 618, or may be captured from the display device of the biomarker analysis system 202 by a camera of the product recommendation computing device 612.
  • the trend determination engine 614 determines at least one skin trend based on the protein biomarker concentration information.
  • the trend determination engine 614 uses one or more of these clinically suggested relationships and the biomarker concentration information to predict one or more facial aging trends based on the biomarker concentration information.
  • the trend determination engine 614 may store the biomarker concentration information and/or the predicted facial aging trends/skin trends in the product data store 620.
  • a product recommender engine 616 of the product recommendation computing device 612 uses information in a product data store 620 to determine at least one product to address the at least one skin trend.
  • the product data store 620 stores records identifying a plurality of products, and each record may associate a given product with one or more skin trends addressed by the given product. Each record may also include one or more ingredients present in the given product.
  • the product data store 620 may also store records regarding what users have received recommendations of what products, and may store records regarding feedback received from the users regarding the recommended products.
  • the product data store 620 may also store information about the users themselves, including but not limited to age, gender, demographic information, and location, that can be used to group users with other similar users based on the stored information.
  • the product recommender engine 616 uses the records of previous recommendations, the feedback received, and the information about the users as input into a collaborative filter, a content-based filter, or a hybrid filter in order to generate recommendations for the user 90 to address the detected at least one skin trend.
  • the product recommendation computing device 612 presents a recommendation for the at least one product on a display device 618 of the product recommendation computing device 612.
  • the recommendation may be presented as a link to a webpage or an app from which the user 90 can purchase the recommended at least one product.
  • the recommendation may be presented as instructions for how to obtain the product from a retailer.
  • the product recommender engine 616 receives feedback about the at least one product and stores the feedback in the product data store 620.
  • the product recommender engine 616 may use the display device 618 to present a feedback form to the user 90 through which the feedback is collected, and the feedback form may be presented at some future time after the user 90 has had a chance to use the at least one product.
  • the product recommender engine 616 may collect implicit feedback by monitoring purchases made by the user 90, and ascribing positive feedback values to additional purchases of the at least one recommended product.
  • the product recommender engine 616 may collect feedback by reviewing social media postings by the user 90 that mention the at least one product, and conducting a sentiment analysis on the postings.
  • the product recommender engine 616 may collect feedback by receiving results of a future analysis by the biomarker analysis system 202 and the trend determination engine 614, and may determine feedback based on whether the detected skin trend has been addressed.
  • the feedback stored in the product data store 620 is used by the collaborative filter, the content-based filter, or the hybrid filter of the product recommender engine 616 to improve future recommendations.
  • the method 700 then proceeds to an end block and terminates.
  • a system for creating custom skincare products comprising: a skincare product formulation device; and a skin diagnosis computing device, comprising: at least one processor; and a non-transitory computer-readable medium having computer-executable instructions stored thereon that, in response to execution by the at least one processor, cause the skin diagnosis computing device to perform actions comprising: obtaining protein biomarker concentration information; determining at least one skincare product ingredient based on the protein biomarker concentration information; and transmitting the determined at least one skincare product ingredient to the skincare product formulation device; wherein the skincare product formulation device is configured to: receive the determined at least one skincare product ingredient; and dispense a skincare product that includes the at least one skincare product ingredient.
  • determining at least one skincare product ingredient includes using a recommendation engine that determines skincare product ingredients used by subjects with similar characteristics.
  • a method for creating custom skincare products comprising: obtaining, by a skin diagnosis computing device, protein biomarker concentration information; determining, by the skin diagnosis computing device, at least one skincare product ingredient based on the protein biomarker concentration information; and transmitting, by the skin diagnosis computing device, the determined at least one skincare product ingredient to a skincare product formulation device for creation of a custom skincare product.
  • the method of Claim 8 further comprising: presenting, by the skin diagnosis computing device, a questionnaire; and receiving, by the skin diagnosis computing device, responses to questions of the questionnaire; wherein the determination of the at least one skincare product ingredient is further based on the responses.
  • determining at least one skincare product ingredient includes using a recommendation engine that determines skincare product ingredients used by subjects with similar characteristics.
  • the method of Claim 12 further comprising: receiving, by the skin diagnosis computing device, feedback on skincare products from subjects; and updating, by the skin diagnosis computing device, the recommendation engine based on the feedback.
  • a system for creating custom skincare products comprising: circuitry for obtaining protein biomarker concentration information; circuitry for determining at least one skincare product ingredient based on the protein biomarker concentration information; and circuitry for transmitting the determined at least one skincare product ingredient to a skincare product formulation device for creation of a custom skincare product.
  • the system of Claim 14, further comprising: circuitry for receiving the determined at least one skincare product ingredient; and circuitry for dispensing the custom skincare product that includes the at least one skincare product ingredient.
  • circuitry for presenting a questionnaire further comprising: circuitry for presenting a questionnaire; and circuitry for receiving responses to questions of the questionnaire; wherein the determination of the at least one skincare product ingredient is further based on the responses.
  • determining at least one skincare product ingredient includes using a recommendation engine that determines skincare product ingredients used by subjects with similar characteristics.
  • circuitry for receiving the protein biomarker concentration information from an immunoassay analyzer device further comprising circuitry for receiving the protein biomarker concentration information from an immunoassay analyzer device.
  • a computer-implemented method of providing a skincare product recommendation for a subject comprising: obtaining, by a computing device, protein biomarker concentration information; determining, by the computing device, at least one skin trend based on the protein biomarker concentration information; determining, by the computing device, at least one skincare product associated with the at least one skin trend; and presenting, by the computing device, a recommendation of the at least one skincare product via a display.
  • determining the at least one skincare product includes providing the at least one skin trend and information associated with the subject to a recommender engine.
  • the protein biomarker concentration information includes information about a concentration of at least one of an FLG2 biomarker, a TG3 biomarker, an IDE biomarker, an LCN1 biomarker, and a YKL40 biomarker.
  • obtaining the protein biomarker concentration information includes receiving the protein biomarker information from an immunoassay analyzer device.
  • a system for providing a skincare product recommendation for a subject comprising: circuitry for obtaining protein biomarker concentration information; circuitry for determining at least one skin trend based on the protein biomarker concentration information; circuitry for determining at least one skincare product associated with the at least one skin trend; and circuitry for presenting a recommendation of the at least one skincare product via a display.
  • determining the at least one skincare product includes providing the at least one skin trend and information associated with the subject to a recommender engine.
  • the protein biomarker concentration information includes information about a concentration of at least one of an FLG2 biomarker, a TG3 biomarker, an IDE biomarker, an LCN1 biomarker, and a YKL40 biomarker.
  • obtaining the protein biomarker concentration information includes receiving the protein biomarker information from an immunoassay analyzer device.
  • circuitry is included in a smartphone or a tablet computing device.
  • a computing device configured to provide a skincare product recommendation for a subject, by: obtaining, by the computing device, protein biomarker concentration information; determining, by the computing device, at least one skin trend based on the protein biomarker concentration information; determining, by the computing device, at least one skincare product associated with the at least one skin trend; and presenting, by the computing device, a recommendation of the at least one skincare product via a display.
  • determining the at least one skincare product includes providing the at least one skin trend and information associated with the subject to a recommender engine.
  • the computing device of Claim 20 wherein the recommender engine uses at least one of a collaborative filter, a content-based filter, and a hybrid filter to generate recommendations. 22. The computing device of Claim 20, wherein the computing device is further configured to: receive feedback about the at least one skincare product; and update the recommender engine using the feedback.
  • the computing device of Claim 19 wherein the computing device is further configured to receive one or more questionnaire responses; wherein the determination of at least one skin trend is further based on the one or more questionnaire responses.
  • the protein biomarker concentration information includes information about a concentration of at least one of an FLG2 biomarker, a TG3 biomarker, an IDE biomarker, an LCN1 biomarker, and a YKL40 biomarker.
  • obtaining the protein biomarker concentration information includes receiving the protein biomarker information from an immunoassay analyzer device.
  • the computing device of Claim 19, wherein the at least one skin trend includes development of at least one of shiny skin, rough skin, uneven skin tone, eye wrinkles, photo-aging, loss of elasticity, and dilated pores.

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Abstract

Systems and methods are provided for improving skincare product formulations to address predicted skin trends. A biomarker analysis system is used to determine concentrations of various protein biomarkers of a user. A skin diagnosis computing device uses the protein biomarker concentrations to determine one or more skin trends, and determines one or more skincare product ingredients to address the skin trends. A skincare product is compounded that includes the one or more skincare product ingredients. In some embodiments, protein biomarker concentration information for a subject is obtained, and is used to determine one or more skin trends likely to be experienced by the subject. Skincare product recommendations are generated based on the protein biomarker concentration information. Feedback on the recommended skincare products may be received, and may be used to improve future recommendations for skincare products for the subject or for other subjects.

Description

SYSTEMS AND METHODS FOR USING BIOMARKER ANALYSIS FOR
PERSONALIZED SKINCARE
CROSS-REFERENCES TO RELATED APPLICATIONS
This application claims the benefit of U.S. Application No. 16/528,380, filed July 31, 2019, U.S. Application No. 16/528,196, filed July 31, 2019; the contents of each of which are hereby incorporated by reference in their entirety.
SUMMARY
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This summary is not intended to identify key features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
In some embodiments, a system for creating custom skincare products is provided. The system comprises a skincare product formulation device and a skin diagnosis computing device. The skin diagnosis computing device comprises at least one processor and a non-transitory computer-readable medium. The computer-readable medium has computer-executable instructions stored thereon that, in response to execution by the at least one processor, cause the skin diagnosis computing device to perform actions comprising: obtaining protein biomarker concentration information; determining at least one skincare product ingredient based on the protein biomarker concentration information; and transmitting the determined at least one skincare product ingredient to the skincare product formulation device. The skincare product formulation device is configured to receive the determined at least one skincare product ingredient; and dispense a skincare product that includes the at least one skincare product ingredient.
In some embodiments, a method for creating custom skincare products is provided. A skin diagnosis computing device obtains protein biomarker concentration information. The skin diagnosis computing device determines at least one skincare product ingredient based on the protein biomarker concentration information. The skin diagnosis computing device transmits the determined at least one skincare product ingredient to a skincare product formulation device for creation of a custom skincare product. In some embodiments, a system for creating custom skincare products is provided. The system comprises circuitry for obtaining protein biomarker concentration information; circuitry for determining at least one skincare product ingredient based on the protein biomarker concentration information; and circuitry for transmitting the determined at least one skincare product ingredient to a skincare product formulation device for creation of a custom skincare product.
In some embodiments, a computer-implemented method of providing a skincare product recommendation for a subject is provided. A computing device obtains protein biomarker concentration information. The computing device determines at least one skin trend based on the protein biomarker concentration information. The computing device determines at least one skincare product associated with the at least one skin trend. The computing device presents a recommendation of the at least one skincare product via a display.
In some embodiments, a system for providing a skincare product recommendation for a subject is provided. The system comprises circuitry for obtaining protein biomarker concentration information; circuitry for determining at least one skin trend based on the protein biomarker concentration information; circuitry for determining at least one skincare product associated with the at least one skin trend; and circuitry for presenting a recommendation of the at least one skincare product via a display.
In some embodiments, a computing device is provided that is configured to provide a skincare product recommendation for a subject, by obtaining protein biomarker concentration information; determining at least one skin trend based on the protein biomarker concentration information; determining at least one skincare product associated with the at least one skin trend; and presenting a recommendation of the at least one skincare product via a display.
DESCRIPTION OF THE DRAWINGS
The foregoing aspects and many of the attendant advantages of this invention will become more readily appreciated as the same become better understood by reference to the following detailed description, when taken in conjunction with the accompanying drawings, wherein: FIGURE l is a high-level schematic drawing that illustrates various components of an example embodiment of a system according to various aspects of the present disclosure;
FIGURE 2 is a block diagram that illustrates details of an example embodiment of a biomarker analysis system, a skin diagnosis computing device, and a skincare product formulation device according to various aspects of the present disclosure;
FIGURE 3 is a flowchart that illustrates a method of generating a custom skincare product according to various aspects of the present disclosure;
FIGURE 4 is a flowchart that illustrates an example embodiment of a procedure for obtaining protein biomarker concentration information according to various aspects of the present disclosure;
FIGURE 5 is a high-level schematic drawing that illustrates various components of an example embodiment of a system according to various aspects of the present disclosure;
FIGURE 6 is a block diagram that illustrates further details of an example embodiment of a biomarker analysis system and an example embodiment of a product recommendation computing device according to various aspects of the present disclosure; and
FIGURE 7 is a flowchart that illustrates an example embodiment of a method of presenting a skincare product recommendation according to various aspects of the present disclosure.
DETAILED DESCRIPTION
The medical field is currently being improved by the growing availability of biomarker analysis systems. These systems, which can operate in an outpatient or clinical setting, can provide a noninvasive measurement of various protein concentrations. These protein concentrations may then be used for various treatment-related purposes. Through clinical studies, certain proteins that can be detected by these biomarker analysis systems have been identified to be linked to clinical signs of aging, as well as responsiveness/non responsiveness to various active ingredients of skincare products. For example, biomarkers such as YKL40, TG3, LCN1, IDE, and FLG2 have been found to be correlated with clinical signs of aging and responsiveness such as shiny skin, rough skin, uneven skin tone, eye wrinkles, photo aging, loss of elasticity, dilated pores, responsiveness to retinol, and responsiveness to proxylane. Even though these correlations have been determined, the biomarker analysis system only provides raw protein concentration information, and does not use these correlations. What is desired are systems and methods that use the biomarker concentration information to improve skincare product formulations to address predicted skin trends. What is also desired are systems and methods that use the biomarker concentration information to generate skincare product recommendations and to improve such recommendations to address predicted skin trends.
FIGURE l is a high-level schematic drawing that illustrates various components of an example embodiment of a system according to various aspects of the present disclosure. The system illustrated in FIGURE 1 is used to obtain a sample from a user 90, to generate skincare product formulations based on skin trends determined based on the sample, and to improve the skincare product formulations over time. As shown, one or more sampling disks 102, 104 are used to obtain a sample from the user 90. A sampling disk 104 is then processed by a protein extraction device 208, and a collected sample is applied to a test cartridge 108. The test cartridge 108 is inserted into an immunoassay analyzer device 106. The immunoassay analyzer device 106 determines concentrations of various protein biomarkers that are associated with various skin trends. The protein biomarker concentration information is then provided to a skin diagnosis computing device 110 to determine skin trends that are present. Based on the detected skin trends, a skincare product formulation device 112 may be used to create a custom skincare product to address the skin trends, and the user 90 may apply the custom skincare product. Feedback regarding the effectiveness of the custom skincare product may be provided back to the skin diagnosis computing device 110 or the skincare product formulation device 112 to improve future custom skincare products.
FIGURE 2 is a block diagram that illustrates details of an example embodiment of a biomarker analysis system, a skin diagnosis computing device, and a skincare product formulation device according to various aspects of the present disclosure.
In some embodiments, the biomarker analysis system 202 includes one or more devices that provide a measurement of biomarkers sampled from a subject. In some embodiments, such sampling is done quickly and non-invasively, thus allowing the biomarker sampling to take place in an outpatient clinical or retail environment. In the illustrated embodiment, the biomarker analysis system 202 includes a sampling disk 204, a test cartridge 206, a protein extraction device 208, and an immunoassay analyzer device 210.
In some embodiments, the sampling disk 204 comprises a substrate and an adhesive. The adhesive is suitable for removably attaching the sampling disk 204 to the skin of a subject and obtaining a sample of skin cells therefrom. Though a sampling disk 204 is described, in some embodiments, an adhesive device of another shape, including but not limited to a rectangle or a tape may be used. In some embodiments, a swab, a wipe, or another device usable to collect a skin cell sample may be used instead of an adhesive device. One nondimiting example of a device that is suitable for use as a sampling disk 204 is a D-SQUAME® sampling disk produced by CuDerm Corporation, though other devices could be used.
In some embodiments, the protein extraction device 208 is configured to remove samples from sampling disks 204 and convert them into a form that can be provided to a test cartridge 206 for processing. In some embodiments, the protein extraction device 208 may include a container in which the sampling disk 204 may be placed along with a buffer solution. The protein extraction device 208 may also include a device for agitating, centrifuging, or otherwise processing the container such that the proteins from the collected skin sample are released from the sampling disk 204 and dissolved in the buffer solution.
In some embodiments, the test cartridge 206 is approximately the size of a credit card, and includes an inlet in which a droplet (approximately 30m1) of the solution containing the proteins from the collected skin sample may be placed. The inlet may be coupled to one or more microfluidic channels through which the solution will automatically flow. In some embodiments, antibodies may be deposited within the one or more microfluidic channels, and antigens within the sample may react with the antibodies. This reaction may cause fluorescent beads associated with the antibodies to fluoresce according to the concentrations of the proteins being measured. The immunoassay analyzer device 210 may accept the test cartridge 206, and may measure the concentrations of the proteins of interest within the sample. In some embodiments, the immunoassay analyzer device 210 may do so by using laser light to determine which fluorescent beads are fluorescing. Once measured, the immunoassay analyzer device 210 may provide the determined protein concentrations to other components of the system using any suitable technique, including but not limited to presenting the protein concentrations on a display, printing the protein concentrations on a paper receipt, and electronically transmitting the determined protein concentrations to another device. One non-limiting example of an immunoassay analyzer device 210 (and its associated test cartridges 206) are the FREND™ System provided by NanoEnTek Inc.
In some embodiments, the skin diagnosis computing device 212 is a computing device configured to receive protein concentration information from the biomarker analysis system 202, determine one or more skin trends based on the protein concentration information, and determine recommended product ingredients based on the protein concentration information (and, in some embodiments, additional information gathered by the skin diagnosis computing device 212). The skin diagnosis computing device 212 may then provide the recommended product ingredients to a skincare product formulation device 222 in order to have a specialized product created, and may also receive feedback on the specialized product to improve future product ingredient recommendations.
In some embodiments, the skin diagnosis computing device 212 may be a mobile computing device such as a smartphone or a tablet computing device. In some embodiments, the skin diagnosis computing device 212 may be a desktop computing device or a laptop computing device. In some embodiments, the skin diagnosis computing device 212 may include more than one computing device, such as a user computing device configured to provide a user interface and one or more server computing devices configured to provide computational functionality (such as the functionality of the trend determination engine 214 and/or the ingredient determination engine 216 described below). In such embodiments, the user computing device and the one or more server computing devices may communicate via any suitable communication technology or technologies, such as a wired technology (including but not limited to Ethernet, USB, or the Internet) or a wireless technology (including but not limited to WiFi, WiMAX, 3G, 4G, LTE, or Bluetooth).
As shown, the skin diagnosis computing device 212 includes a trend determination engine 214, an ingredient determination engine 216, a feedback processing engine 218, and a product data store 220.
In some embodiments, the trend determination engine 214 is configured to receive protein biomarker concentration information from the biomarker analysis system, and to determine skin trends using the correlation information that has been clinically determined.
In some embodiments, the ingredient determination engine 216 is configured to receive the skin trend information and to determine one or more skincare product ingredients based on the skin trend information. In some embodiments, the ingredient determination engine 216 may directly use the protein biomarker concentration information to determine the skincare product ingredients. In some embodiments, the ingredient determination engine 216 may also collect additional information to inform the selection of skincare product ingredients, including but not limited to presenting a questionnaire that provides environmental information relevant to the user 90. In some embodiments, the ingredient determination engine 216 also provides the selected skincare product ingredients to the skincare product formulation device 222.
In some embodiments, the feedback processing engine 218 receives information from the user 90 regarding the effectiveness of the custom skincare products created from the instructions provided by the ingredient determination engine 216. The feedback processing engine 218 may store the information, and in some embodiments, the feedback processing engine 218 may cause the stored information to be used to improve selections of skincare product ingredients in the future.
In some embodiments, the product data store 220 may be used to store relevant information for each user 90, including but not limited to the protein biomarker concentration information, the additional information collected by the ingredient determination engine 216, the skin trends determined by the trend determination engine 214, the skincare product ingredients selected by the ingredient determination engine 216, and the feedback collected by the feedback processing engine 218.
In some embodiments, the skincare product formulation device 222 is configured to receive an indication generated by the skin diagnosis computing device 212 of ingredients that should be included in a custom skincare product. The skincare product formulation device 222 then generates and packages the custom skincare product. One non-limiting example of a skincare product formulation device 222 suitable for use in embodiments of the present disclosure is the Custom D.O.S.E. system provided by SkinCeuticals.
As shown, the skincare product formulation device 222 includes an ingredient dispensing device 224, a compounding device 226, and a packaging device 228. In some embodiments, the ingredient dispensing device 224 includes one or more components, such as pumps, droppers, pipettes, and spoons, that are capable of dispensing ingredients from ingredient storage associated with the skincare product formulation device. In some embodiments, the compounding device 226 is configured to receive the ingredients from the ingredient dispensing device 224 and to compound a final product by performing actions such as, but not limited to, grinding, agitating, and compacting. In some embodiments, the packaging device 228 may be configured to receive the compounded product from the compounding device 226 and place it in a container for delivery to the user 90. In some embodiments, the packaging device 228 may also be configured to seal and/or label the container.
FIGURE 3 is a flowchart that illustrates a method of generating a custom skincare product according to various aspects of the present disclosure. From a start block, the method 300 advances to procedure block 302, where a procedure is executed wherein protein biomarker concentration information is obtained for a subject by a biomarker analysis system 202. Any suitable procedure may be used to collect the protein biomarker concentration information, including but not limited to the procedure 400 illustrated in FIGURE 4 and described below.
At block 304, a trend determination engine 214 of a skin diagnosis computing device 212 receives the protein biomarker concentration information. In some embodiments, the protein biomarker concentration information is received from the biomarker analysis system 202 by the trend determination engine 214 via a network. The network may be a wireless network, including but not limited to a Wi-Fi network, a cellular network (including but not limited to a 3G network, a 4G network, a 5G network, or an LTE network), or a Bluetooth network; a wired network, including but not limited to an Ethernet network, a USB network, or a FireWire network; and/or any other type of network. In some embodiments, the protein biomarker concentration information may be displayed by a display device (not illustrated) of the biomarker analysis system 202, and the protein biomarker concentration information may be manually entered into an interface associated with the skin diagnosis computing device 212, or may be captured from the display device of the biomarker analysis system 202 by a camera of the skin diagnosis computing device 212.
At block 306, the trend determination engine 214 determines at least one skin trend based on the protein biomarker concentration information. Preliminary clinical studies have suggested linkage between five biomarkers (FLG2, TG3, IDE, LCN1, and YKL40) and clinical signs of aging. Example predictive performances (ROC curves) of these biomarkers for various clinical signs of aging are as follows:
Figure imgf000010_0001
Preliminary studies have also suggested a link between biomarkers and whether a subject is a responder or a non-responder to retinol and proxylane. Preliminary clinical studies have suggested that the YKL40 and TG3 biomarkers indicate that a subject will be responsive to retinol for improvement of underneath eye wrinkles, that the TG3 and LCN1 biomarkers indicate that a subj ect will be responsive to retinol for improvement of full-face dyschromia, and that the YKL40 biomarker indicates that a subject will be responsive to proxylane for improvement of erythrosis. In some embodiments, the trend determination engine 214 uses one or more of these clinically suggested relationships and the biomarker concentration information to predict one or more facial aging trends based on the biomarker concentration information. In some embodiments, the trend determination engine 214 may store the biomarker concentration information and/or the predicted facial aging trends/skin trends in the product data store 220.
The method 300 then proceeds to block 308, where an ingredient determination engine 216 of the skin diagnosis computing device 212 presents a questionnaire to the subject and receives responses to one or more questions of the questionnaire. The ingredient determination engine 216 may present the questionnaire to the subject using any suitable technique. In one non-limiting example, the ingredient determination engine 216 may present a user interface that includes the questions of the questionnaire on a display device (not illustrated) of the skin diagnosis computing device 212, and may receive answers via one or more human-machine interaction (HMI) devices (not illustrated) of the skin diagnosis computing device 212, including but not limited to a touch screen, a keyboard, a mouse, and a voice input system. In another non-limiting example, the ingredient determination engine 216 may present an audible question via a loudspeaker (not illustrated) of the skin diagnosis computing device 212, and may receive answers via a microphone and a voice recognition system (not illustrated). In yet another non-limiting example, the questionnaire may be presented on a sheet of paper or other physical embodiment, the subject may answer the questions on the sheet of paper, and the skin diagnosis computing device 212 may scan the answers from the sheet of paper using a camera (not illustrated), laser scanner, or other suitable device incorporated into or communicatively coupled to the skin diagnosis computing device 212. In some embodiments, the answers to the questions of the questionnaire are stored on a computer- readable medium accessible by the ingredient determination engine 216. In some embodiments, the questions of the questionnaire relate to environmental and/or behavioral factors that are likely to affect either facial aging trends or the effectiveness of a given product ingredient. Such environmental and/or behavioral factors include, but are not limited to, climate, humidity, stress level, sun exposure, diet, hydration, and smoking status.
At block 310, the ingredient determination engine 216 determines one or more skincare product ingredients based on the protein biomarker concentration information and/or the responses. As one non-limiting example, a particular skincare product ingredient may be associated with a particular skin trend to be addressed, and so the particular skincare product ingredient may be included by default if the skin trend is present based on the protein biomarker concentration information. As another non-limiting example, an optimal combination of skincare product ingredients may be included based on multiple skin trends if some of the skincare product ingredients can be used to address more than one skin trend. As yet another non-limiting example, a combination of ingredients that achieves optimum overall effectiveness in treating a combination of skin trends may be included if conflicting effects are present (e.g., if a first skincare product ingredient improves a first skin trend and a second skin trend but worsens a third skin trend, a second skincare product ingredient may be included to address the third skin trend, or a third skincare product ingredient may be included that addresses the first skin trend or the second skin trend instead of the first skincare product ingredient to avoid the worsening of the third skin trend). As still another non-limiting example, a skincare product ingredient may be chosen based on whether the protein biomarker concentration information indicates a responsiveness or a lack of responsiveness to the particular skincare product ingredient. In all of the above cases that describe selecting skincare product ingredients based on the skin trends or the protein biomarker concentration information, in some embodiments the selection may be made instead on the basis of the responses to the questionnaire, or on the basis of both the protein biomarker concentration information and the responses to the questionnaire.
At block 312, the ingredient determination engine 216 transmits the one or more skincare product ingredients to a skincare product formulation device 222. In some embodiments, the identities of ingredients, quantities of ingredients, relative concentrations of ingredients, type of medium for delivery, instructions for compounding, instructions for application, and/or other relevant information for the compounding and use of the custom skincare product may be transmitted by the ingredient determination engine 216. In some embodiments, the information is transmitted electronically using any wired or wireless technology described herein. In some embodiments, the ingredient determination engine 216 may cause the information to be presented on a display of the skin diagnosis computing device 212, and the information may be manually entered into an interface of the skincare product formulation device 222. In some embodiments, the ingredient determination engine 216 may cause the information to be printed on a hard copy of a form, and the form may be delivered to the skincare product formulation device 222 for entry. In some embodiments, the ingredient determination engine 216 may also store the information in the product data store 220.
At block 314, the skincare product formulation device 222 compounds and packages a custom skincare product including the one or more skincare product ingredients. In some embodiments, the skincare product formulation device 222 may combine one or more liquids, gels, powders, solutions, suspensions, serums, or other skincare product ingredients as specified by the information received from the ingredient determination engine 216. In some embodiments, the skincare product formulation device 222 may dispense the compounded custom skincare product into a container, may seal the container, and may label the container with one or more of an identification of the user 90, a list of ingredients in the custom skincare product, and a set of instructions for using the custom skincare product. The packaged custom skincare product is provided to the subject for use.
At block 316, a feedback processing engine 218 of the skin diagnosis computing device 212 receives feedback from the subject regarding the custom skincare product. In some embodiments, the subject provides feedback as responses to another questionnaire provided by a component of the skin diagnosis computing device 212, such as the feedback processing engine 218. In some embodiments, the questionnaire may include subjective feedback from the subject regarding their satisfaction with the custom skincare product. In some embodiments, the feedback may be objective feedback received from a skincare professional, or by re-testing the biomarkers using the biomarker analysis system 202. In some embodiments, the feedback may be input directly to the skin diagnosis computing device 212, while in other embodiments, the feedback may be collected by another device (such as the biomarker analysis system 202 or a computing device of the subject) and subsequently provided to the skin diagnosis computing device 212 using any suitable technique.
At block 318, the feedback processing engine 218 updates the ingredient determination engine 216 based on the feedback. In some embodiments, the ingredient determination engine 216 may use the feedback to update an effectiveness stored for each ingredient in the custom skincare product (e.g., increasing the stored effectiveness for skin trends that have improved with use, decreasing the stored effectiveness for skin trends that have not improved with use). In some embodiments, the ingredient determination engine 216 may use the feedback as training data for a machine learning system that is used to choose the ingredients based on the protein biomarker concentration information, the questionnaire responses, and/or the skin trends.
The method 300 then proceeds to an end block and terminates.
FIGURE 4 is a flowchart that illustrates an example embodiment of a procedure for obtaining protein biomarker concentration information according to various aspects of the present disclosure. The procedure 402 is a non-limiting example of a procedure suitable for use at block 302 of FIGURE 3 for obtaining protein biomarker concentration information for a subject. From a start block, the procedure 400 advances to block 402, where a sample is obtained from the subject using a sampling disk 204. In some embodiments, the sampling disk 204 may be attached to the skin of the subject via an adhesive. In some embodiments, the sampling disk 204 may absorb substances such as sweat, sebum, and other skin secretions. In some embodiments, the adhesive of the sampling disk 204 may collect skin cells from the skin of the subject. In some embodiments, the sampling disk 204 may be placed on the skin and removed from the skin multiple times to collect the skin sample. In some embodiments, a weight or pressure may be applied on top of the sampling disk 204, and/or the sampling disk 204 may be left in place for a specific amount of time, in order to obtain a consistent sample.
Next, at block 404, a protein extraction device 210 extracts proteins from the sampling disk into a solution. In some embodiments, the protein extraction device 210 may apply the solution to the sampling disk in order to dissolve the skin cells, skin secretions, or other sampled matter into the solution. In some embodiments, the sampling disk 204 may be placed in a buffer solution, and may then be shaken to cause the skin sample to be dissolved in the solution.
At block 406, the solution is deposited onto a test cartridge 206. In some embodiments, a droplet of the solution created by the protein extraction device 210 that includes the proteins from the sampling disk is placed in an inlet of the test cartridge 206. At block 408, proteomic analysis is performed on the test cartridge 206 by an immunoassay analyzer device 208 to generate the protein biomarker concentration information. In some embodiments, the test cartridge 206 is inserted into the immunoassay analyzer device 208, which uses laser light to measure the fluorescing beads and thereby determine the concentrations of the protein biomarkers in the skin sample. The procedure 400 then advances to an end block and terminates. The protein biomarker concentration information may be displayed on a screen of the immunoassay analyzer device 208, may be transmitted electronically to another device, or may be provided to another device in some other way in order to allow the protein biomarker concentration information to be used for creating and updating skincare product formulations (or for any other purpose).
FIGURE 5 is a high-level schematic drawing that illustrates various components of an example embodiment of a system according to various aspects of the present disclosure. The system illustrated in FIGURE 5 is used to obtain a sample from a user 90, to generate skincare product recommendations based on the sample, and to improve the recommendations over time. As shown, one or more sampling disks 102, 104 are used to obtain a sample from the user 90. A sampling disk 104 is then processed by a protein extraction device 208, and a collected sample is applied to a test cartridge 108. The test cartridge 108 is inserted into an immunoassay analyzer device 106. The immunoassay analyzer device 106 determines concentrations of various protein biomarkers that are associated with various skin trends. The determination of the various protein biomarkers is similar to that illustrated in FIGURE 1 and described above.
In the embodiment illustrated in FIGURE 5, the protein biomarker concentration information is provided to a product recommendation computing device 510 to determine skin trends that are present. Based on the detected skin trends, the product recommendation computing device 510 provides a recommendation for one or more skincare products to address the skin trends. The product recommendation computing device 510 may also receive feedback about the recommended one or more skincare products, and may use this feedback to improve recommendations for future requests.
FIGURE 6 is a block diagram that illustrates further details of an example embodiment of a product recommendation computing device according to various aspects of the present disclosure. The system illustrated in FIGURE 5 uses a biomarker analysis system 202 similar to the one illustrated in FIGURE 2 and described in detail above. Accordingly, a biomarker analysis system is not described again here for the sake of brevity.
In some embodiments, the product recommendation computing device 612 is a computing device configured to receive protein concentration information from the biomarker analysis system 202, determine one or more skin trends based on the protein concentration information, and determine product recommendations based on the protein concentration information. In some embodiments, the product recommendation computing device 612 is also configured to receive feedback on recommended products, which the product recommendation computing device 612 can then use to improve future product recommendations.
In some embodiments, the product recommendation computing device 612 may be a mobile computing device such as a smartphone or a tablet computing device. In some embodiments, the product recommendation computing device 612 may be a desktop computing device or a laptop computing device. In some embodiments, the product recommendation computing device 612 may include more than one computing device, such as a user computing device configured to provide a user interface and one or more server computing devices configured to provide computational functionality (such as the functionality of the trend determination engine 614 and/or the product recommender engine 616 described below). In such embodiments, the user computing device and the one or more server computing devices may communicate via any suitable communication technology or technologies, such as a wired technology (including but not limited to Ethernet, USB, or the Internet) or a wireless technology (including but not limited to WiFi, WiMAX, 3G, 4G, LTE, or Bluetooth).
In the illustrated embodiment, the product recommendation computing device 612 includes a trend determination engine 614, a product recommender engine 616, a display device 618, and a product data store 620.
In some embodiments, the trend determination engine 614 is configured to receive protein biomarker concentration information from the biomarker analysis system, and to determine skin trends using the correlation information that has been clinically determined.
In some embodiments, the product recommender engine 616 is configured to receive the skin trend information and to determine one or more products based on the skin trend information. In some embodiments, the product recommender engine 616 may directly use the protein biomarker concentration information to determine the one or more products. In some embodiments, the product recommender engine 616 may also collect additional information to inform the selection of the one or more products, including but not limited to presenting a questionnaire that provides environmental information relevant to the user 90. In some embodiments, the product recommender engine 616 may also collect feedback from the user 90 regarding the selected one or more products, and may use that feedback to improve recommendations for future products for the user 90 and for other users.
In some embodiments, the display device 618 may be an LED display, OLED, display, or other type of display that presents a user interface to the user 90. The user interface may include presentations of the recommended products, and may include a form or other type of interface that allows the user 90 to provide feedback for the recommended products.
In some embodiments, the product data store 620 may be used to store relevant information for each user 90, including but not limited to the protein biomarker concentration information, the skin trends determined by the trend determination engine 614, the one or more products recommended by the product recommender engine 616, and the feedback collected by the product recommender engine 616.
FIGURE 7 is a flowchart that illustrates an example embodiment of a method of presenting a skincare product recommendation according to various aspects of the present disclosure. From a start block, the method 700 advances to procedure block 702, where a procedure is executed wherein protein biomarker concentration information is obtained for a subject by a biomarker analysis system 202. Any suitable procedure may be used to collect the protein biomarker concentration information, including but not limited to the procedure 400 illustrated in FIGURE 4 and described above.
At block 704, a trend determination engine 614 of a product recommendation computing device 612 receives the protein biomarker concentration information. In some embodiments, the protein biomarker concentration information is received from the biomarker analysis system 202 by the trend determination engine 614 via a network. The network may be a wireless network, including but not limited to a Wi-Fi network, a cellular network (including but not limited to a 3G network, a 4G network, a 5G network, or an LTE network), or a Bluetooth network; a wired network, including but not limited to an Ethernet network, a USB network, or a FireWire network; and/ or any other type of network. In some embodiments, the protein biomarker concentration information may be displayed by a display device (not illustrated) of the biomarker analysis system 202, and the protein biomarker concentration information may be manually entered into an interface presented by the display device 618, or may be captured from the display device of the biomarker analysis system 202 by a camera of the product recommendation computing device 612.
At block 706, the trend determination engine 614 determines at least one skin trend based on the protein biomarker concentration information. As discussed above, preliminary clinical studies have suggested linkage between five biomarkers (FLG2, TG3, IDE, LCN1, and YKL40) and clinical signs of aging, and have also suggested a link between biomarkers and whether a subject is a responder or a non-responder to retinol and proxylane. In some embodiments, the trend determination engine 614 uses one or more of these clinically suggested relationships and the biomarker concentration information to predict one or more facial aging trends based on the biomarker concentration information. In some embodiments, the trend determination engine 614 may store the biomarker concentration information and/or the predicted facial aging trends/skin trends in the product data store 620. At block 708, a product recommender engine 616 of the product recommendation computing device 612 uses information in a product data store 620 to determine at least one product to address the at least one skin trend. In some embodiments, the product data store 620 stores records identifying a plurality of products, and each record may associate a given product with one or more skin trends addressed by the given product. Each record may also include one or more ingredients present in the given product. The product data store 620 may also store records regarding what users have received recommendations of what products, and may store records regarding feedback received from the users regarding the recommended products. In some embodiments, the product data store 620 may also store information about the users themselves, including but not limited to age, gender, demographic information, and location, that can be used to group users with other similar users based on the stored information. In some embodiments, the product recommender engine 616 uses the records of previous recommendations, the feedback received, and the information about the users as input into a collaborative filter, a content-based filter, or a hybrid filter in order to generate recommendations for the user 90 to address the detected at least one skin trend.
At block 710, the product recommendation computing device 612 presents a recommendation for the at least one product on a display device 618 of the product recommendation computing device 612. In some embodiments, the recommendation may be presented as a link to a webpage or an app from which the user 90 can purchase the recommended at least one product. In some embodiments, the recommendation may be presented as instructions for how to obtain the product from a retailer.
At block 712, the product recommender engine 616 receives feedback about the at least one product and stores the feedback in the product data store 620. In some embodiments, the product recommender engine 616 may use the display device 618 to present a feedback form to the user 90 through which the feedback is collected, and the feedback form may be presented at some future time after the user 90 has had a chance to use the at least one product. In some embodiments, the product recommender engine 616 may collect implicit feedback by monitoring purchases made by the user 90, and ascribing positive feedback values to additional purchases of the at least one recommended product. In some embodiments, the product recommender engine 616 may collect feedback by reviewing social media postings by the user 90 that mention the at least one product, and conducting a sentiment analysis on the postings. In some embodiments, the product recommender engine 616 may collect feedback by receiving results of a future analysis by the biomarker analysis system 202 and the trend determination engine 614, and may determine feedback based on whether the detected skin trend has been addressed. In some embodiments, the feedback stored in the product data store 620 is used by the collaborative filter, the content-based filter, or the hybrid filter of the product recommender engine 616 to improve future recommendations.
The method 700 then proceeds to an end block and terminates.
While illustrative embodiments have been illustrated and described, it will be appreciated that various changes can be made therein without departing from the spirit and scope of the invention.
EXAMPLE SET ONE
1. A system for creating custom skincare products, the system comprising: a skincare product formulation device; and a skin diagnosis computing device, comprising: at least one processor; and a non-transitory computer-readable medium having computer-executable instructions stored thereon that, in response to execution by the at least one processor, cause the skin diagnosis computing device to perform actions comprising: obtaining protein biomarker concentration information; determining at least one skincare product ingredient based on the protein biomarker concentration information; and transmitting the determined at least one skincare product ingredient to the skincare product formulation device; wherein the skincare product formulation device is configured to: receive the determined at least one skincare product ingredient; and dispense a skincare product that includes the at least one skincare product ingredient.
2. The system of Claim 1, wherein the actions further comprise presenting a questionnaire and receiving responses to questions of the questionnaire; and wherein the determination of the at least one skincare product ingredient is further based on the responses.
3. The system of Claim 2, wherein the questionnaire includes questions directed to at least one of climate, humidity, stress level, and smoking status.
4. The system of Claim 1, wherein determining at least one skincare product ingredient includes using a recommendation engine that determines skincare product ingredients used by subjects with similar characteristics.
5. The system of Claim 4, wherein the actions further comprise: receiving feedback on skincare products from subjects; and updating the recommendation engine based on the feedback. 6 The system of Claim 1, wherein the skin diagnosis computing device is a smartphone or a tablet computing device.
7. The system of Claim 1, further comprising an immunoassay analyzer device configured to generate the protein biomarker concentration information from a sample provided by the subject.
8. A method for creating custom skincare products, the method comprising: obtaining, by a skin diagnosis computing device, protein biomarker concentration information; determining, by the skin diagnosis computing device, at least one skincare product ingredient based on the protein biomarker concentration information; and transmitting, by the skin diagnosis computing device, the determined at least one skincare product ingredient to a skincare product formulation device for creation of a custom skincare product.
9. The method of Claim 8, further comprising: receiving, by a skincare product formulation device, the determined at least one skincare product ingredient; and dispensing, by the skincare product formulation device, the custom skincare product that includes the at least one skincare product ingredient.
10. The method of Claim 8, further comprising: presenting, by the skin diagnosis computing device, a questionnaire; and receiving, by the skin diagnosis computing device, responses to questions of the questionnaire; wherein the determination of the at least one skincare product ingredient is further based on the responses.
11. The method of Claim 10, wherein the questionnaire includes questions directed to at least one of climate, humidity, stress level, and smoking status.
12. The method of Claim 8, wherein determining at least one skincare product ingredient includes using a recommendation engine that determines skincare product ingredients used by subjects with similar characteristics. 13. The method of Claim 12, further comprising: receiving, by the skin diagnosis computing device, feedback on skincare products from subjects; and updating, by the skin diagnosis computing device, the recommendation engine based on the feedback.
14. A system for creating custom skincare products, the system comprising: circuitry for obtaining protein biomarker concentration information; circuitry for determining at least one skincare product ingredient based on the protein biomarker concentration information; and circuitry for transmitting the determined at least one skincare product ingredient to a skincare product formulation device for creation of a custom skincare product.
15. The system of Claim 14, further comprising: circuitry for receiving the determined at least one skincare product ingredient; and circuitry for dispensing the custom skincare product that includes the at least one skincare product ingredient.
16. The system of Claim 14, further comprising: circuitry for presenting a questionnaire; and circuitry for receiving responses to questions of the questionnaire; wherein the determination of the at least one skincare product ingredient is further based on the responses.
17. The system of Claim 16, wherein the questionnaire includes questions directed to at least one of climate, humidity, stress level, and smoking status.
18. The system of Claim 14, wherein determining at least one skincare product ingredient includes using a recommendation engine that determines skincare product ingredients used by subjects with similar characteristics.
19. The system of Claim 18, further comprising: circuitry for receiving feedback on skincare products from subjects; and circuitry for updating the recommendation engine based on the feedback. 20. The system of Claim 14, further comprising circuitry for receiving the protein biomarker concentration information from an immunoassay analyzer device.
EXAMPLE SET TWO
1. A computer-implemented method of providing a skincare product recommendation for a subject, the method comprising: obtaining, by a computing device, protein biomarker concentration information; determining, by the computing device, at least one skin trend based on the protein biomarker concentration information; determining, by the computing device, at least one skincare product associated with the at least one skin trend; and presenting, by the computing device, a recommendation of the at least one skincare product via a display.
2. The method of Claim 1, wherein determining the at least one skincare product includes providing the at least one skin trend and information associated with the subject to a recommender engine.
3. The method of Claim 2, wherein the recommender engine uses at least one of a collaborative filter, a content-based filter, and a hybrid filter to generate recommendations.
4. The method of Claim 2, further comprising: receiving feedback about the at least one skincare product; and updating the recommender engine using the feedback.
5. The method of Claim 1, further comprising receiving one or more questionnaire responses; wherein the determination of at least one skin trend is further based on the one or more questionnaire responses.
6. The method of Claim 1, wherein the protein biomarker concentration information includes information about a concentration of at least one of an FLG2 biomarker, a TG3 biomarker, an IDE biomarker, an LCN1 biomarker, and a YKL40 biomarker. 7. The method of Claim 1, wherein obtaining the protein biomarker concentration information includes receiving the protein biomarker information from an immunoassay analyzer device.
8. The method of Claim 1, wherein the at least one skin trend includes development of at least one of shiny skin, rough skin, uneven skin tone, eye wrinkles, photo-aging, loss of elasticity, and dilated pores.
9. The method of Claim 1, wherein the computing device is a smartphone or a tablet computing device.
10. A system for providing a skincare product recommendation for a subject, the system comprising: circuitry for obtaining protein biomarker concentration information; circuitry for determining at least one skin trend based on the protein biomarker concentration information; circuitry for determining at least one skincare product associated with the at least one skin trend; and circuitry for presenting a recommendation of the at least one skincare product via a display.
11. The system of Claim 10, wherein determining the at least one skincare product includes providing the at least one skin trend and information associated with the subject to a recommender engine.
12. The system of Claim 11, wherein the recommender engine uses at least one of a collaborative filter, a content-based filter, and a hybrid filter to generate recommendations.
13. The system of Claim 11, further comprising: circuitry for receiving feedback about the at least one skincare product; and circuitry for updating the recommender engine using the feedback.
14. The system of Claim 10, further comprising circuitry for receiving one or more questionnaire responses; wherein the determination of at least one skin trend is further based on the one or more questionnaire responses.
15. The system of Claim 10, wherein the protein biomarker concentration information includes information about a concentration of at least one of an FLG2 biomarker, a TG3 biomarker, an IDE biomarker, an LCN1 biomarker, and a YKL40 biomarker.
16. The system of Claim 10, wherein obtaining the protein biomarker concentration information includes receiving the protein biomarker information from an immunoassay analyzer device.
17. The system of Claim 10, wherein the at least one skin trend includes development of at least one of shiny skin, rough skin, uneven skin tone, eye wrinkles, photo-aging, loss of elasticity, and dilated pores.
18. The system of Claim 10, wherein the circuitry is included in a smartphone or a tablet computing device.
19. A computing device configured to provide a skincare product recommendation for a subject, by: obtaining, by the computing device, protein biomarker concentration information; determining, by the computing device, at least one skin trend based on the protein biomarker concentration information; determining, by the computing device, at least one skincare product associated with the at least one skin trend; and presenting, by the computing device, a recommendation of the at least one skincare product via a display.
20. The computing device of Claim 19, wherein determining the at least one skincare product includes providing the at least one skin trend and information associated with the subject to a recommender engine.
21. The computing device of Claim 20, wherein the recommender engine uses at least one of a collaborative filter, a content-based filter, and a hybrid filter to generate recommendations. 22. The computing device of Claim 20, wherein the computing device is further configured to: receive feedback about the at least one skincare product; and update the recommender engine using the feedback.
23. The computing device of Claim 19, wherein the computing device is further configured to receive one or more questionnaire responses; wherein the determination of at least one skin trend is further based on the one or more questionnaire responses.
24. The computing device of Claim 19, wherein the protein biomarker concentration information includes information about a concentration of at least one of an FLG2 biomarker, a TG3 biomarker, an IDE biomarker, an LCN1 biomarker, and a YKL40 biomarker.
25. The computing device of Claim 19, wherein obtaining the protein biomarker concentration information includes receiving the protein biomarker information from an immunoassay analyzer device.
26. The computing device of Claim 19, wherein the at least one skin trend includes development of at least one of shiny skin, rough skin, uneven skin tone, eye wrinkles, photo-aging, loss of elasticity, and dilated pores.
27. The computing device of Claim 19, wherein the computing device is a smartphone or a tablet computing device.

Claims

1. A method for creating custom skincare products, the method comprising: obtaining, by a skin diagnosis computing device, protein biomarker concentration information; determining, by the skin diagnosis computing device, at least one skincare product ingredient based on the protein biomarker concentration information; and transmitting, by the skin diagnosis computing device, the determined at least one skincare product ingredient to a skincare product formulation device for creation of a custom skincare product.
2. The method of claim 1, further comprising: presenting, by the skin diagnosis computing device, a questionnaire; and receiving, by the skin diagnosis computing device, responses to questions of the questionnaire; wherein the determination of the at least one skincare product ingredient is further based on the responses.
3. The method of claim 2, wherein the questionnaire includes questions directed to at least one of climate, humidity, stress level, and smoking status.
4. The method of claim 1, wherein determining at least one skincare product ingredient includes using a recommendation engine that determines skincare product ingredients used by subjects with similar characteristics.
5. The method of claim 4, further comprising: receiving, by the skin diagnosis computing device, feedback on skincare products from subjects; and updating, by the skin diagnosis computing device, the recommendation engine based on the feedback.
6. A system, comprising: a skin diagnosis computing device; and a skincare product formulation device; wherein the skin diagnosis computing device is configured perform a method as recited in any of claim 1 to claim 5.
7. The system of claim 6, wherein the skincare product formulation device is configured to: receive the determined at least one skincare product ingredient; and dispense the custom skincare product that includes the at least one skincare product ingredient.
8. The system of claim 6, further comprising an immunoassay analyzer device configured to generate the protein biomarker concentration information from a sample provided by the subject.
9. A computer-implemented method of providing a skincare product recommendation for a subject, the method comprising: obtaining, by a computing device, protein biomarker concentration information; determining, by the computing device, at least one skin trend based on the protein biomarker concentration information; determining, by the computing device, at least one skincare product associated with the at least one skin trend; and presenting, by the computing device, a recommendation of the at least one skincare product via a display.
10. The method of claim 9, wherein determining the at least one skincare product includes providing the at least one skin trend and information associated with the subject to a recommender engine.
11. The method of claim 10, wherein the recommender engine uses at least one of a collaborative filter, a content-based filter, and a hybrid filter to generate recommendations.
12. The method of claim 10, further comprising: receiving feedback about the at least one skincare product; and updating the recommender engine using the feedback.
13. The method of claim 9, wherein the protein biomarker concentration information includes information about a concentration of at least one of an FLG2 biomarker, a TG3 biomarker, an IDE biomarker, an LCN1 biomarker, and a YKL40 biomarker.
14. The method of claim 9, wherein the at least one skin trend includes development of at least one of shiny skin, rough skin, uneven skin tone, eye wrinkles, photo-aging, loss of elasticity, and dilated pores.
15. A computing device configured to provide a skincare product recommendation for a subject by performing a method as recited in any of claim 9 to claim 14.
PCT/US2020/042012 2019-07-31 2020-07-14 Systems and methods for using biomarker analysis for personalized skincare WO2021141634A2 (en)

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CN202080062859.9A CN114828735A (en) 2019-07-31 2020-07-14 Systems and methods for personalized skin care using biomarker analysis
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