WO2012006669A1 - Système et procédé permettant d'établir une stratégie personnelle d'intervention sur la santé - Google Patents

Système et procédé permettant d'établir une stratégie personnelle d'intervention sur la santé Download PDF

Info

Publication number
WO2012006669A1
WO2012006669A1 PCT/AU2011/000881 AU2011000881W WO2012006669A1 WO 2012006669 A1 WO2012006669 A1 WO 2012006669A1 AU 2011000881 W AU2011000881 W AU 2011000881W WO 2012006669 A1 WO2012006669 A1 WO 2012006669A1
Authority
WO
WIPO (PCT)
Prior art keywords
subject
data
genetic profile
objective data
subjective
Prior art date
Application number
PCT/AU2011/000881
Other languages
English (en)
Inventor
Paul Beaver
Original Assignee
Fitgenes Pty Ltd
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 AU2010903112A external-priority patent/AU2010903112A0/en
Application filed by Fitgenes Pty Ltd filed Critical Fitgenes Pty Ltd
Publication of WO2012006669A1 publication Critical patent/WO2012006669A1/fr

Links

Classifications

    • 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
    • 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
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • 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
    • G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • 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
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
    • 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
    • G16H20/70—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
    • 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
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • the present invention relates to a method and system for determining an individual health intervention strategy. More particularly, this invention relates to a subject-specific health recommendation based on subject subjective and objective data, as well as a subject genetic profile.
  • the present invention is directed to a method and system for determining an individual health intervention strategy.
  • an embodiment of the present invention resides in a method of determining an individual health intervention strategy, the method including the steps of:
  • evaluating the subjective data, the objective data and the genetic profile of the subject, and determining an individual health recommendation for the subject based on that data/profile is implemented by a computer.
  • the evaluation and determination can be assisted by a decision support system implemented by a computer.
  • an embodiment of the present invention resides in a system for determining an individual health intervention strategy, the system including:
  • a memory coupled to a processor, wherein the memory includes computer- readable program code components configured to evaluate subject subjective data, subject objective data and a subject genetic profile, and determine an individual health recommendation for the subject based on the subjective data, objective data and genetic profile of the subject.
  • an embodiment of the present invention resides in a computer-readable medium comprising the aforementioned computer-readable program code components for determining an individual health intervention strategy.
  • FIG. 1 shows a flow diagram of a method of determining an individual health intervention strategy according to an embodiment of the present invention
  • FIG. 2 shows a block diagram showing a system for determining an individual health intervention strategy according to an embodiment of the present invention.
  • modules designed to achieve a beneficial personal health intervention strategy for a target individual, subject or client (including a perspective client).
  • the modules are populated with a variety of data, including, for example, the results of various surveys or questionnaires completed by an individual, anthropometric (i.e., body) measurements, biometric test results, genetic profile, medical test results, and peer- reviewed scientific research, and provide various scores, results, profiles, and templates as outputs, including personalised health and wellness recommendations for an individual.
  • the outputs can be displayed, for example, in either tabular format or in a graphical format.
  • the surveys or questionnaires provide a convenient and efficient means whereby subjective data, in the form of responses to a variety of questions, may be collected from the target individual.
  • the questions contained in the surveys or questionnaires may relate to, or be directed to, a variety of topics relevant to providing an individual health intervention strategy, and include, for example, questions concerning attitude, nutrition and diet, lifestyle, exercise, habits, preferences, work, stress, hobbies, personal health, personal/family health history, fitness, and goals.
  • the questions in the surveys or questionnaires may be presented in a simple yes/no format or using a numerical score that allows a respondee to select between one or more extremes, or any other format familiar to one of skill in the art.
  • exemplary surveys/questionnaires include: a lifestyle change readiness survey; a personal fitness plan survey; a current nutrition survey; a current exercise survey; a lifestyle choices survey; a personal health history survey; and a family health history survey.
  • the anthropometric measurements provide a convenient and efficient means whereby objective data, in the form of results from a variety of body measurements, may be collected from the target individual.
  • Anthropometric measurements or parameters include, but are not limited to, total body weight, height, body mass index
  • BMI body fat, muscle mass, bone mass, visceral fat, percent water, and basal metabolic rate.
  • Biometric tests include tests designed to quantitate one or more biological parameters, such as, for example, free radical activity and pH levels.
  • a personal genetic profile of genes that impact fitness, health and wellness, and nutrition can be generated by a DNA testing laboratory using a biological sample from the target individual.
  • the laboratory generates a genetic profile using, for example, one or more of the exemplary genes described herein, taking into account nominated single nucleotide polymorphism (SNP) variants based on the results of peer-reviewed scientific research.
  • SNP single nucleotide polymorphism
  • the test results are verified and assessed for quality control by a molecular geneticist.
  • Medical test results are necessary to ensure that a target individual who is not fit for the intervention does not commence it.
  • the medical test results provide an additional source of obj ective data concerning the target individual, and may take the form of reports from a medical practitioner based on one or more visits with the target individual, as well as laboratory data.
  • laboratory data includes the results of one or more standard laboratory medical tests run on one or more subject/client samples ⁇ e.g., blood or urine), and includes, but is not limited to, LDL cholesterol levels, HDL cholesterol levels, total cholesterol levels, triglycerides levels, c-reactive protein levels, homocysteine levels, and fasting glucose levels.
  • templates include, for example, a template containing scientific identification data associated with the genetic profile of genes that impact fitness, health and wellness, and nutrition. This genetic profile template has been assembled based on peer-reviewed scientific research in the field of human genetics, with genes selected because of the effects they have on the body at the cellular level.
  • an additional exemplary template maps the genetic effects at the micro level to various effects on the whole body, such as, for example, obesity (and the ability to shed fat), blood pressure and heart function.
  • This template associates these macro level effects with a corresponding individual health intervention strategy relating to, for example, weight management, cardiovascular health, women's health, men's health, healthy-ageing, improved health expectancy, improved life expectancy, and maintenance of cognitive function.
  • Additional templates include nutrition, exercise and lifestyle intervention templates, based on peer-reviewed scientific research in the fields of human physiology and psychology, and take into account the genetic profile templates discussed above.
  • the various scores, results and profiles generated as a result of the data (including subjective data, objective data and genetic data) used to populate the several modules described herein, along with the one or more templates as described, may be stored in an information storage device that is capable of communication through a computer network (e.g., the internet) with one or more users, such as, for example, the target individual, a scientific advisory team (or team member) or a consultant.
  • a computer network e.g., the internet
  • the modules disclosed herein include a Behavioural Change Module, a
  • Phenotype Analysis Module a Genotype Analysis Module, a Medical Status Module, a Knowledge Management Module, and a Template Matching Module.
  • This exercise can be viewed as a pre-qualifying step for the target individual to establish their: a) readiness to change, b) personal goals, c) level of confidence is achieving their goals, d) fitness history, e) current fitness destination, f) preferred activities and interests, and g) best time slots in a schedule (e.g., daily, weekly or monthly) in which to engage in the individualised health intervention.
  • a schedule e.g., daily, weekly or monthly
  • This information can be captured using the aforementioned surveys or questionnaires, and can be used to assess the target individual's commitment to making the necessary nutrition, exercise and lifestyle changes to improve their overall health and wellbeing. Such an assessment can be carried out, for example, by a health coach, a personal trainer, a consultant, or other qualified individual.
  • a final aspect of this module is a determination by the target individual of an area of focus that matches their goals, and can include, for example, weight management, cardiovascular health, women's health, men's health, anti-ageing, improved health expectancy, improved life expectancy, maintenance of cognitive function, and combinations thereof.
  • the Phenotype Analysis Module focuses on the target individual's current nutrition, exercise and lifestyle choices using the aforementioned surveys or questionnaires to collect data regarding the target individual's current health status. These surveys are designed to help identify any potential symptoms that indicate that the target individual's body is out-of-balance with regard to various physiological functions, such as, for example, inflammation at the cellular level, circulation problems and high levels of homocysteine.
  • Survey results for this module are compared to one or more templates which list the association between the questions in the surveys/questionnaires and various functions.
  • functions include, for example, physiological functions at the cellular level, such as, inflammation and free radical activity.
  • This data can be analysed to assess the effects of the target individual's current nutrition, exercise and lifestyle choices on physiological functions in the body, such as cellular health. In addition, this analysis can help identify if the target individual is showing any adverse symptoms as a result of these effects at the cellular level.
  • the data collected for this module can be used to establish the target individual's current phenotype.
  • the collection of objective data from the target individual can be realised via anthropometric measurements and/or the completion of one or more biometric tests, as described herein, to further populate the data in this module.
  • the Genotype Analysis Module is directed toward the determination of the target individual's personal genetic profile from a biological sample, such as, for example, a saliva sample or a mouth swab (for cheek epidermal cells).
  • a biological sample such as, for example, a saliva sample or a mouth swab (for cheek epidermal cells).
  • a genetic test panel consisting of multiple genes which influence fitness, health and wellness, and nutrition outcomes, and therefore have significant influence on a target individual's health and wellbeing, is generated.
  • genes that can be analysed ⁇ e.g., for single nucleotide polymorphisms include, but are not limited to: Angiotensin I Converting Enzyme (ACE), Adiponectin (ADIPOQ), Adrenergic Receptor Beta-2 ( ⁇ ⁇ -2), Adrenergic Receptor Beta-3 (ADRP-3), Angiotensin Gene (AGT), Angiotensin II Receptor, Type 1 (AGTR1), Apolipoprotein A-I (APOA1), Catalase (CAT), Cystathionine- ⁇ - Synthase (CBS), Cholesteryl Ester Transfer Protein (CETP), Collagen, Type I, Alpha 1 (COL1A1), C-Reactive Protein (CRP), Cytochrome P450 1A1 (CYP1A1), Cytochrome P450 1B1 (CYP1B1), Endothelial Nitric Oxide Synthase (eNOS), Coagulation Factor VII (F7), Fat Mass and Obe
  • a preferred method includes the following steps: a target individual provides a sample of their saliva using a DNA self collection kit; the DNA sample is sent to a DNA testing laboratory (preferably an accredited laboratory) for analysis; the laboratory generates a genetic profile using one or more of the exemplary genes listed herein, taking into account nominated SNP variants; the test results are verified and assessed for quality control by a molecular geneticist; the verified test results are analysed using one or more templates and presented in a personal genetic profile report.
  • a DNA testing laboratory preferably an accredited laboratory
  • Analysis of the target individual's medical status requires medical test data from the individual.
  • the purpose of this module is to ensure a duty of care.
  • Various bio-markers and possible medical risk factors of the target individual are analysed to determine their risk factor to undertake a personal health intervention, and also numerical values for the bio-markers are generated via one or more templates. This ensures that a target individual who is not fit for the intervention does not commence it.
  • test data which includes medical reports from a medical practitioner and/or laboratory data, as described herein, may have been generated by a target individual's visit to a medical practitioner that is unrelated to their decision to pursue an individual health intervention strategy.
  • the medical test data may be the result of a visit to a medical practitioner by a target individual wishing to undertake an individual health intervention strategy.
  • the Knowledge Management Module allows one or more scientific advisors to maintain and update the various intervention templates used to analyse the subjective data, objective data and genetic data collected/received concerning the target individual, as well as to determine the appropriate individual health recommendation for the target individual. Maintenance of the various templates can be done at any time, and can also be done jointly or in isolation of each other.
  • the output from all other modules is brought together in the Template Matching Module to perform the analysis necessary to generate an individual health recommendation for the target individual based on the subjective data, objective data and genetic data collected/received concerning the target individual.
  • the gene variations for the target individual are analysed against the genetic templates to determine the intervention(s) they should apply, based on their genetic analysis. Determination of the appropriate intervention(s) is also affected by the target individual ' s subj ective and obj ective data, as interpreted via the appropriate nutrition, exercise and lifestyle templates.
  • the output of this module is an individual health recommendation for the target individual, including one or more appropriate interventions, along with their individual weightings.
  • the individual health recommendation can take the form of a personalised report, that includes one or more nutrient, exercise and lifestyle interventions for the target individual. It can also include one or more focus areas for the target individual, specifically directing the attention of the target individual to areas of nutrition, exercise and/or lifestyle that are a high priority for addressing.
  • a method of determining an individual health intervention strategy 100 for a subject will now be described with reference to the general flow diagram shown in FIG. 1.
  • the method includes at 110 collecting subject subjective data and at 120 collecting subject objective data.
  • the method includes receiving additional subject objective data.
  • the method of determining an individual health intervention strategy 100 for a subject further includes at 140 determining the subject's genetic profile.
  • the method includes evaluating the subject subjective data, the subject objective data and the genetic profile of the subject.
  • the method includes determining an individual health recommendation for the subject based on the subjective data, the objective data and the genetic profile of the subject.
  • FIG. 2 shows a block diagram of a system 200 according to one aspect of the present invention.
  • System 200 includes a computer in the form of a server 210 connected to a computer network 230, to which one or more users (also referred to as target individuals, subjects or clients (including perspective clients)) 220 have access. Users 220 may access the server 210 using a web browser, for example, on a computing device, such as a personal computer, laptop, server, personal digital assistant (PDA), mobile phone, and the like, as known by persons skilled in the art.
  • the server 210 comprises computer-readable program code components for determining an individual health intervention strategy in accordance with the teachings of the present invention.
  • the computer-readable program code components for determining an individual health intervention strategy in accordance with the teachings of the present invention can be on a user's computing device.
  • Such computer-readable program code components are in the form of software installed on a memory, which comprises a computer-readable medium, such as a hard disk, a read only memory (e.g. , programmable read only memory (PROM), or electrically erasable programmable read only memory (EEPROM)), a random access memory (RAM) (e.g. , static random access memory (SRAM), or synchronous dynamic random access memory (SDRAM)), or hybrid memory (e.g., FLASH), or other types of memory as are well known in the art.
  • a computer-readable medium such as a hard disk, a read only memory (e.g. , programmable read only memory (PROM), or electrically erasable programmable read only memory (EEPROM)), a random access memory (RAM) (e.g. , static random access memory (SRAM), or
  • the computer-readable program code components are then processed by a processor in communication with the memory and are configured to cause execution of a method of the present invention.
  • a database stored on the server 210, interacts with a website as would be known to a person skilled in the art.
  • the database stores profiles of users 220, as well as subjective data, objective data and genetic profiles of users 220, and one or more templates against which the subjective data, objective data and genetic profiles of users 220 is compared.
  • User profiles include individual-specific details pertaining to a user 220 of the website.
  • a database stored on a user's computing device which may interact with the server 210 via the computer network 230 and/or the website of the system 200, can also store profiles of one or more users 220, as well as subjective data, objective data and genetic profiles of one or more users 220, and one or more templates against which the subjective data, objective data and genetic profiles of one or more users 220 is compared.
  • the website of the system 200 allows an individual from the plurality of users 220 to receive an individual health recommendation for the user based on the subjective data, objective data and genetic profiles of the user 220.
  • the recommendation is determined by the system 200 according to the method of the present invention.
  • the website may also provide links to manufacturers one or more products of use to users 220 as they implement a health intervention strategy.
  • the method and system disclosed above have as an advantage a multidimensional approach to improving health and wellness outcomes in individuals based on individual-specific subjective and objective data, as well as an individual-specific genetic profile.

Abstract

L'invention concerne un procédé et un système permettant d'établir une stratégie personnelle d'intervention sur la santé et, plus particulièrement, un procédé et un système permettant d'établir une recommandation sur la santé propre à un sujet compte tenu de données subjectives et objectives relatives au sujet, ainsi que d'un profil génétique du sujet.
PCT/AU2011/000881 2010-07-13 2011-07-13 Système et procédé permettant d'établir une stratégie personnelle d'intervention sur la santé WO2012006669A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
AU2010903112A AU2010903112A0 (en) 2010-07-13 System and method for determining personal health intervention
AU2010903112 2010-07-13

Publications (1)

Publication Number Publication Date
WO2012006669A1 true WO2012006669A1 (fr) 2012-01-19

Family

ID=45468805

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/AU2011/000881 WO2012006669A1 (fr) 2010-07-13 2011-07-13 Système et procédé permettant d'établir une stratégie personnelle d'intervention sur la santé

Country Status (1)

Country Link
WO (1) WO2012006669A1 (fr)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016005793A1 (fr) * 2014-07-09 2016-01-14 Suisse Life Science S.A. Procédé cosmétique.
CN110494880A (zh) * 2017-01-27 2019-11-22 欧瑞3恩公司 基于个人基因轮廓来判定和展现购买建议的系统和方法
US10678890B2 (en) 2015-08-06 2020-06-09 Microsoft Technology Licensing, Llc Client computing device health-related suggestions
CN112472052A (zh) * 2020-12-21 2021-03-12 安徽华米智能科技有限公司 基于个人运动机能指数pai的体重预测方法、装置和设备
US11244752B2 (en) 2016-10-24 2022-02-08 Nederlandse Organisatie Voor Toegepast—Natuurwetenschappelijk Onderzoek Tno System and method for implementing meal selection based on vitals, genotype and phenotype
US11545250B2 (en) 2020-03-20 2023-01-03 Kpn Innovations, Llc. Methods and systems for generating lifestyle change recommendations based on biological extractions

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008067551A2 (fr) * 2006-11-30 2008-06-05 Navigenics Inc. Procédés et systèmes d'analyse génétique
US7650290B2 (en) * 2004-09-15 2010-01-19 Coenrad Karel Van Kalken Computer installation for establishing a diagnosis

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7650290B2 (en) * 2004-09-15 2010-01-19 Coenrad Karel Van Kalken Computer installation for establishing a diagnosis
WO2008067551A2 (fr) * 2006-11-30 2008-06-05 Navigenics Inc. Procédés et systèmes d'analyse génétique

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016005793A1 (fr) * 2014-07-09 2016-01-14 Suisse Life Science S.A. Procédé cosmétique.
US10678890B2 (en) 2015-08-06 2020-06-09 Microsoft Technology Licensing, Llc Client computing device health-related suggestions
US11244752B2 (en) 2016-10-24 2022-02-08 Nederlandse Organisatie Voor Toegepast—Natuurwetenschappelijk Onderzoek Tno System and method for implementing meal selection based on vitals, genotype and phenotype
CN110494880A (zh) * 2017-01-27 2019-11-22 欧瑞3恩公司 基于个人基因轮廓来判定和展现购买建议的系统和方法
US11545250B2 (en) 2020-03-20 2023-01-03 Kpn Innovations, Llc. Methods and systems for generating lifestyle change recommendations based on biological extractions
CN112472052A (zh) * 2020-12-21 2021-03-12 安徽华米智能科技有限公司 基于个人运动机能指数pai的体重预测方法、装置和设备

Similar Documents

Publication Publication Date Title
US11315688B2 (en) Methods and systems for an artificial intelligence alimentary professional support network for vibrant constitutional guidance
Bilder et al. Neuropsychological tests of the future: How do we get there from here?
Cottrell et al. Comparison of community-level and patient-level social risk data in a network of community health centers
US20200356864A1 (en) Methods and systems for an artificial intelligence alimentary professional support network for vibrant constitutional guidance
Chauhan et al. A meta-analysis of e-health applications acceptance: Moderating impact of user types and e-health application types
US10553319B1 (en) Artificial intelligence systems and methods for vibrant constitutional guidance
KR20140119022A (ko) 체중 및 영양 제어를 위한 유전자 기반 건강 관리 시스템들
Wilson et al. Literacy, cognitive ability, and the retention of health-related information about colorectal cancer screening
WO2012006669A1 (fr) Système et procédé permettant d'établir une stratégie personnelle d'intervention sur la santé
WO2010108092A2 (fr) Système médical d'information sur la santé
KR102258899B1 (ko) 통합적 건강 정보를 이용한 식단 및 운동 추천 방법 및 서비스 시스템
Kueh et al. The physical activity and leisure motivation scale: a confirmatory study of the Malay language version
Nuciforo et al. Variables predictive of admission to US physical therapist education programs
US11581094B2 (en) Methods and systems for generating a descriptor trail using artificial intelligence
Reis et al. Aggregation of qualitative studies—From theory to practice: Patient priorities and family medicine/general practice evaluations
Floyd et al. Cumulative risk on the oxytocin receptor gene (OXTR) predicts empathic communication by physician assistant students
Parker Best laid plans for offering results go awry
KR20210145539A (ko) 마이크로바이옴을 이용한 건강 정보 제공 방법 및 분석장치
US20220301715A1 (en) Method of using digital twin biomarker profiles for improved sports training and performance, wellness and healthcare outcomes
Bernhardt Genetic counselors and the future of clinical genomics
KR102261270B1 (ko) 사용자 다중 특징 정보를 이용한 개인 맞춤형 콘텐츠 제공 방법 및 분석장치
Solomon et al. Artificial intelligence and the impact on medical genetics
US20230245752A1 (en) System and method for biomarker analysis in sporting, wellness and healthcare
EP4239643A1 (fr) Système de recommandation automatisée personnalisée de nutrition et de style de vie et procédé associé
Higgins Produce prescription programs, bodily norms, and federal nutrition policy

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 11806137

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 11806137

Country of ref document: EP

Kind code of ref document: A1