WO2020165774A1 - Cognitive testing product selection system - Google Patents

Cognitive testing product selection system Download PDF

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Publication number
WO2020165774A1
WO2020165774A1 PCT/IB2020/051096 IB2020051096W WO2020165774A1 WO 2020165774 A1 WO2020165774 A1 WO 2020165774A1 IB 2020051096 W IB2020051096 W IB 2020051096W WO 2020165774 A1 WO2020165774 A1 WO 2020165774A1
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Prior art keywords
cannabis
user
tests
user device
products
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PCT/IB2020/051096
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French (fr)
Inventor
Michael CABIGON
Steven Splinter
Denis TASCHUK
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Radient Technologies Innovations Inc.
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.)
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Publication of WO2020165774A1 publication Critical patent/WO2020165774A1/en

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    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • A—HUMAN NECESSITIES
    • A23—FOODS OR FOODSTUFFS; TREATMENT THEREOF, NOT COVERED BY OTHER CLASSES
    • A23L—FOODS, FOODSTUFFS, OR NON-ALCOHOLIC BEVERAGES, NOT COVERED BY SUBCLASSES A21D OR A23B-A23J; THEIR PREPARATION OR TREATMENT, e.g. COOKING, MODIFICATION OF NUTRITIVE QUALITIES, PHYSICAL TREATMENT; PRESERVATION OF FOODS OR FOODSTUFFS, IN GENERAL
    • A23L33/00—Modifying nutritive qualities of foods; Dietetic products; Preparation or treatment thereof
    • A23L33/10—Modifying nutritive qualities of foods; Dietetic products; Preparation or treatment thereof using additives
    • A23L33/105—Plant extracts, their artificial duplicates or their derivatives
    • A—HUMAN NECESSITIES
    • A23—FOODS OR FOODSTUFFS; TREATMENT THEREOF, NOT COVERED BY OTHER CLASSES
    • A23L—FOODS, FOODSTUFFS, OR NON-ALCOHOLIC BEVERAGES, NOT COVERED BY SUBCLASSES A21D OR A23B-A23J; THEIR PREPARATION OR TREATMENT, e.g. COOKING, MODIFICATION OF NUTRITIVE QUALITIES, PHYSICAL TREATMENT; PRESERVATION OF FOODS OR FOODSTUFFS, IN GENERAL
    • A23L5/00—Preparation or treatment of foods or foodstuffs, in general; Food or foodstuffs obtained thereby; Materials therefor
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61K—PREPARATIONS FOR MEDICAL, DENTAL OR TOILETRY PURPOSES
    • A61K36/00—Medicinal preparations of undetermined constitution containing material from algae, lichens, fungi or plants, or derivatives thereof, e.g. traditional herbal medicines
    • A61K36/18—Magnoliophyta (angiosperms)
    • A61K36/185—Magnoliopsida (dicotyledons)
    • 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
    • G06Q30/0282—Rating or review of business operators or products
    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services
    • 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
    • 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
    • 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
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • 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
    • G16H70/00—ICT specially adapted for the handling or processing of medical references
    • G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state

Definitions

  • Users of cannabis products can benefit from intelligently choosing the cannabis extracts and consumption methods that are most closely aligned with their desired effects. Furthermore, users of cannabis products can benefit from intelligently preparing customized edibles and predicting how consuming these edibles will affect them.

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Abstract

A system and method for correlating a user's cognitive and cannabinoid test results with ingredients, preparation methods, and cannabis extracts used in a consumption event is provided. A kit may be ordered by the user that contains a plurality of cannabis products, along with consumable ingredients with which to make a consumable food or beverage item, which may be used with cognitive and cannabinoid testing systems. The kit may be supported by a cloud-based platform. Recommendations may be made to the user about what products to use, how to prepare the products, to get the desired effect, and to control the effect timing.

Description

COGNITIVE TESTING PRODUCT SELECTION SYSTEM
CROSS-REFERENCED TO RELATED APPLICATIONS
[0001] The present patent application claims the priority benefit of U.S. provisional patent number 62/804,395 filed February 12, 2019, the disclosure of which is incorporated by reference herein.
BACKGROUND OF THE INVENTION
1. Field of the Disclosure
[0002] The present disclosure is generally related to a cognitive testing product selection system; more specifically, the present disclosure is related to a cognitive testing product selection system that contains a plurality of cannabis extracts and consumable ingredients from which a user may make food or beverages.
2. Description of the Related Art
[0003] Cannabis is a flowering plant that includes three species or sub-species, namely sativa, indica and ruderalis. Cannabis has long been used for hemp fiber, for oils, for medicinal purposes and as a recreational drug. Cannabis contains a unique class of terpeno-phenolic compounds known as cannabinoids or phytocannabinoids that have been extensively studied since the discovery of the chemical structure of tetrahydrocannabinol (A9-THC), commonly known as THC. THC is the main constituent responsible for psychoactive effects. Another prominent cannabinoid present in cannabis is cannabidol (CBD). CBD is non-psychoactive but has been found to have numerous medicinal benefits. When used by humans medicinally or recreationally, cannabis can be consumed by a variety of routes, including inhalation via vaporizing or smoking dried flower buds and leaf portions, resins, extracted oils or waxes. In recent years many medicinal patients, as well as recreational users, have begun to prefer consuming cannabis in other forms designed for alternative routes of administration, including for example edible forms for oral administration by eating lozenges, candies, or baked goods, drinking beverages, or by taking capsules.
[0004] There are many factors that can influence the effects of cannabis consumption on the user, including the form of the cannabis used (e.g. dried flower or extract), the composition of the extract, or the composition or redpe of the formulation used to make the consumption product. Even such factors as the individual metabolism (liver function), age or sex of the user may influence desired effects. It is therefore difficult to predict how consuming cannabis products may affect an individual.
[0005] Users of cannabis products can benefit from intelligently choosing the cannabis extracts and consumption methods that are most closely aligned with their desired effects. Furthermore, users of cannabis products can benefit from intelligently preparing customized edibles and predicting how consuming these edibles will affect them.
BRIEF DESCRIPTIONS OF THE DRAWINGS
[0006] FIG. 1 illustrates an exemplary network environment in which a cognitive testing product selection system may be implemented.
[0007] FIG. 2 is a flowchart illustrating an exemplary method of a creation module.
[0008] FIG. 3 is a flowchart illustrating an exemplary method of a recommendation module.
[0009] FIG. 4 is a flowchart illustrating an exemplary method of an evaluation module.
[0010] FIG. 5 is a flowchart illustrating an exemplary method of a correlation generator.
DETAILED DESCRIPTION
[0011] Embodiments of the present invention include systems and methods for correlating a user's cognitive and cannabinoid test results with ingredients, preparation, and cannabis extracts used in a consumption event. A kit may be ordered by the user that contains a plurality of cannabis extracts, along with consumable ingredients with which to make a consumable food or beverage item, which may be used with cognitive and cannabinoid testing systems. The kit may be supported by a cloud-based platform. Recommendations may be made to the user about what products to use, how to prepare the products, to get the desired effect, and to control the effect timing.
[0012] FIG. 1 illustrates an exemplary network environment 100 in which a cognitive testing product selection system may be implemented. Network environment 100 is comprised of a cannabis network 102 that collects information from a user mobile device 124 in order to facilitate the ordering of cannabis extract and ingredients for consumables ( e.g ., food or beverages), collecting of cognitive and saliva testing data, correlating specific extract and ingredient combinations with user-desired effects, and making recommendations to the user for ordering ingredients and for creating consumables based on the user's desired effect.
[0013] A creation module 104 guides the user through the creation of a consumable product, (i.e., food or beverages), using the ingredients the user has ordered through the ordering module 110 on the cannabis network 102. A recommendation module 106 identifies the correct cannabis strain and cannabis type used for creation of the consumable product. For example, dried flower, extract type (e.g., oil, concentrate, distillate), and preparation method based on the user- desired effects and available cannabis products and consumable ingredients are some of the things that may be identified. An evaluation module 108 quantifies the cognitive state of the user in order to assess the effects of a given cannabis consumption event on the user. This can be accomplished using any tool created with the intent to help people protect and increase their physical and mental stamina, their safety, as well as the safety of all those around them. Any tool that measures cognitive impairment, whether from the use of cannabis, alcohol,
prescription drugs, exhaustion, or any other cause may be employed. Such measurement of cognitive impairment enables users to make informed judgments in view of their current cognitive and physical states. The user may be helped to determine if he or she should be driving, using machinery, or engaging in any other complex task with a risk of injury or death.
[0014] An ordering module 110 allows the user to order cannabis products ( e.g ., dried flower or extracts) and consumable ingredients for food or beverage products. A correlation generator 112 correlates results from the saliva and cognitive tests with different cannabis extracts and consumable ingredients. A correlation database 114 stores the output of the correlation generator 112. The outputs of the correlation generator 112 are the correlation coefficients that relate each consumable ingredient and cannabis extract to effects and timing of effects experienced by the user. A product database 116 stores the available inventory of consumable ingredients that the user can order through the ordering module 110. A cannabis database 118 stores the available inventory of cannabis products (e.g., dried flower or extracts) that the user can order through the ordering module 110. A user database 120 stores the user's contact, account, delivery, and mobile device information. A recipe database 122 stores the instructions for preparing food or beverage products with the available consumable ingredients and cannabis products (e.g., dried flower or extracts).
[0015] A user mobile device 124, such as a smartphone or tablet, is used as a part of this system 100. An inventory database 126 stores the available consumable ingredients and cannabis products. The data is added through the ordering module 110 and/or subtracted through the creation module 104. A cognition application 128 may include a user interface in communication with the evaluation module 108. An ordering application 130 is the user interface for the ordering module 110. A creation application 132, which may communicate with other data sources, guides the user through the preparation steps of the user's chosen consumable. A testing database 134 houses the results of the user's saliva tests and cognition tests. Cognition tests are administered by the evaluation module 108. Saliva tests 136 are tests to allow the user to determine the current cannabinoid levels in the user's system. Cannabis products 138 are the cannabis products (e.g. dried flower, extracts, oils, concentrates, distillates) the user has available to them. Ingredients 140 are the consumable ingredients for food or beverages that are available to the user. There may be 1 through n saliva tests 136, 1 through n cannabis products 138, and 1 through n ingredients 140.
[0016] FIG. 2 is a flowchart illustrating an exemplary method of a creation module 104. One skilled in the art will appreciate that, for this and other processes and methods disclosed herein, the functions performed in the processes and methods may be implemented in differing order. Furthermore, the outlined steps and operations are only provided as examples, and some of the steps and operations may be optional, combined into fewer steps and operations, or expanded into additional steps and operations without detracting from the essence of the disclosed embodiments.
[0017] The process begins with the user logging in the creation application 132 on the user mobile device 124 in step 200. The user information is retrieved from the user database 120 in step 202. The recommendation module 106 is prompted in step 204. The user's selection of food or beverage recipe is received from the recommendation module 106 in step 206.
[0018] Examples of the user selection may include but are not limited to: breads, drinks, Bangladeshi dishes, Indian dishes, Pakistani dishes, Sri Lankan dishes, foods with alcoholic drinks, blood dishes, buckwheat dishes, cabbage dishes, cereal dishes, foods containing coconut, coffee dishes, curry dishes, dairy dishes, dishes involving the consumption of live animals, egg dishes, fish dishes, flower dishes, fruit dishes, ice-based food, legume dishes, food made from maple, meat dishes, noodle dishes, nut dishes, pasta dishes, sausage dishes, scallion dishes, sesame dishes, squash and pumpkin dishes, stuffed vegetable dishes, dishes featuring sweet corn, tea dishes, toast dishes, tomato products, or vegetable dishes.
[0019] The first step in the selected recipe from the recipe database 122 is presented to the user in step 208. It is determined whether the current step is complete in step 210. For instance, it may be determined that the food is prepped, and cannabis oil is added. If the previous step is complete, the next step is presented to the user via the creation application 132 interface in step 212. The user is polled for indication that the final step in the recipe is complete in step 214. The creation module 104 then ends at step 216.
[0020] FIG. 3 is a flowchart illustrating an exemplary method of a recommendation module 106. The process begins with the recommendation module 106 receiving a prompt from the creation module 104 in step 300. A query is conducted on the user for their desired effect in step 302. As an example, the user's desired effect may specify a daytime high that peaks in one hour. As another example, the user's desired effect may also specify the product or ingredient they wish to use, such as a specific sativa extract or brownie mix. A query is conducted on the correlation database 114 for the products that are identified as highly correlated with the desired effect or conversely, the effects that are identified as being correlated with the product or ingredient the user wants to utilize in step 304. A query is conducted on the inventory database 126 for the available ingredients and cannabis products that the user has available in step 306. It may also be determined what food or beverage the user can create with the available ingredients and products, and a corresponding display may be generated that ranks each ingredient and product by correlation coefficient to the desired effect in step 308. The user's selection about the food or beverage may be polled and received in step 310. The user's selection is then sent to creation module in step 312.
[0021] FIG. 4 is a flowchart illustrating an exemplary method of an evaluation module 108. The process begins with the user logging into the cognition application 128 in step 400. The user defines the most recent consumption event in step 402, which includes details such as quantity, ingredients and timing. The details of the consumption event are sent to the testing database 134 in step 404. The user is prompted to do a saliva test 136 to determine the level of various cannabinoids in their system after a consumption event in step 406. The results of the saliva test 136 are returned in step 408. The results of the saliva test 136 are sent to the testing database 134 in step 410. Then, the cognition test begins in step 412. The results of the cognition test are sent to the testing database 134 in step 414. A timer is started so that the user is tested again after the cannabinoid has had more time in the user's system to either take greater effect or wear off in step 416. The timer may be set at any arbitrary predetermined time ( e.g ., one hour). The clock is polled in step 418. It may be determined if the clock has reached the predetermined time in step 420. If the clock has reached the predetermined time, the user may be prompted to begin the evaluation module 108 again in step 422. The evaluation module 108 then ends at step 424.
[0022] FIG. 5 is a flowchart illustrating an exemplary method of a correlation generator 112. While the user is connected, the process begins with this module continuously polling the testing database 134 of the user mobile device 124 for new testing data events in step 500. It may be determined if there is new testing data in the testing database 134 in step 502. If there is new testing data, the consumption event data may be retrieved from the testing database 134 in step 504. Then, the updated correlation coefficients are calculated between testing and consumption data in step 506. An example of a correlation is where the user data may be identified as being highly correlated ( e.g ., correlation coefficient greater than 0.90) with a sativa extract being made into a baked good, whereas the user data may not be highly correlated to the same sativa extract being brewed into a beverage. The updated correlation coefficients are sent to the correlation database 114 in step 508. The correlation generator 112 ends at step 510.
[0023] The present invention may be implemented in an application that may be operable using a variety of devices. Non-transitory computer-readable storage media refer to any medium or media that participate in providing instructions to a central processing unit (CPU) for execution. Such media can take many forms, including, but not limited to, non-volatile and volatile media such as optical or magnetic disks and dynamic memory, respectively. Common forms of non-transitory computer-readable media include, for example, a floppy disk, a flexible disk, a hard disk, magnetic tape, any other magnetic medium, a CD-ROM disk, digital video disk (DVD), any other optical medium, RAM, PROM, EPROM, a FLASHEPROM, and any other memory chip or cartridge.
[0024] Various forms of transmission media may be involved in carrying one or more sequences of one or more instructions to a CPU for execution. A bus carries the data to system RAM, from which a CPU retrieves and executes the instructions. The instructions received by system RAM can optionally be stored on a fixed disk either before or after execution by a CPU. Various forms of storage may likewise be implemented as well as the necessary network interfaces and network topologies to implement the same.
[0025] The foregoing detailed description of the technology has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the technology to the precise form disclosed. Many modifications and variations are possible in light of the above teaching. The described embodiments were chosen in order to best explain the principles of the technology, its practical application, and to enable others skilled in the art to utilize the technology in various embodiments and with various modifications as are suited to the particular use contemplated. It is intended that the scope of the technology be defined by the claim.

Claims

CLAIMS WHAT IS CLAIMED IS:
1. A system for creating consumable products, the system comprising:
a kit comprising one or more saliva tests and one or more cannabis products;
a cannabis network server that stores a plurality of instructions for creating a consumable product;
a user device in communication with the cannabis network server, wherein the user device:
presents the instructions to the user,
queries the user regarding one or more tests, the tests including one of the saliva tests, and
transmits results of the tests to the cannabis network server, wherein the cannabis network server evaluates the effect of cannabis consumption on the user.
2. The system of claim 1, wherein the cannabis network server comprises an evaluation module executable to administer one or more cognition tests via the user device.
3. The system of claim 2, further comprising a testing database that stores the test results of the saliva tests and the cognition tests.
4. The system of claim 1, wherein the user device includes an ordering application executable to order one or more ingredients to include in the kit.
5. The system of claim 4, wherein the user device further includes an inventory database that stores information regarding the one or more ordered ingredients.
6. The system of claim 1, wherein the user device includes an ordering application executable to order one or more cannabis products to include in the kit
7. The system of claim 1, wherein the user device comprises an interface that presents the instructions for creating the consumable product.
8. The system of claim 7, wherein the instructions are associated with a recipe database accessible from the cannabis network.
9. The system of claim 1, wherein the cannabis product comprises one or more of a dried flower, a cannabis extract, a cannabis concentrate, and a cannabis distillate.
10. A method for creating a consumable product, the method comprising:
querying a user for a desired effect;
correlating the desired effect with a consumable product;
querying for available cannabis products and ingredients;
calculating one or more correlation coefficients;
ranking each cannabis products and ingredients by correlation coefficient; and receiving user selection of the desired consumable product.
11. The method of claim 10, wherein the user selection is entered by the user through a creation application on a user device.
12. The method of claim 11, wherein calculating one or more correlation coefficients includes polling a testing database on the user device for new data.
13. The method of claim 12, further comprising:
updating one or more correlation coefficients based on the new data in the testing database; and
sending the updated correlation coefficients to a correlation database on a cannabis network server.
14. The method of claim 13, wherein the new data is obtained by one or more saliva tests and one or more cognition tests.
15. The method of claim 14, wherein the one or more cognition tests are administered by an evaluation module on the cannabis network server.
16. The method of claim 10, further comprising:
providing one or more steps to create the desired consumable product, wherein the one or more steps has a final step; and
determining that the final step is complete.
PCT/IB2020/051096 2019-02-12 2020-02-11 Cognitive testing product selection system WO2020165774A1 (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017118980A1 (en) * 2016-01-06 2017-07-13 Syqe Medical Ltd. Low dose therapeutic treatment
WO2017122201A1 (en) * 2016-01-11 2017-07-20 Syqe Medical Ltd. Method and system for controlling the delivery of active agents

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017118980A1 (en) * 2016-01-06 2017-07-13 Syqe Medical Ltd. Low dose therapeutic treatment
WO2017122201A1 (en) * 2016-01-11 2017-07-20 Syqe Medical Ltd. Method and system for controlling the delivery of active agents

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