Patent Issued for Personalized health system, method and device having a recommendation function (USPTO 11791025): Vydiant Inc.

2023 NOV 08 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- According to news reporting originating from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Carlone, Terry (Sacramento, CA, US), Green, John (Burke, VA, US), Kaput, James (Madison, WI, US), Morine, Melissa (Avonport, CA), Priami, Corrado (Follonica, IT), filed on March 25, 2022, was published online on October 17, 2023.

The assignee for this patent, patent number 11791025, is Vydiant Inc. (Folsom, California, United States).

Reporters obtained the following quote from the background information supplied by the inventors: “Health and disease research over the past one hundred years was largely based on reductionist experimental approaches which tested a single variable while holding all other variables constant. This methodology served science and society well, dramatically improving health and longevity. In spite of these advances, multifactorial diseases like obesity, diabetes, and other chronic diseases have become near-epidemics across the world, indicating that reductionistic strategies provide incomplete solutions. The critical concept overlooked from health research and applications is that health results from interactions of multiple in-the-body molecules and processes and many external factors that include nutrition/diet, physical activity/exercise, social activity, and environment while disease results from dysfunctions of one or more interacting processes among these scales. The interaction of the internal and external processes produces emergent (unexpected) properties of the separate macro and micro systems. However, applying these concepts experimentally or directly to the real world has not happened-economic and other disincentives and challenges have deterred integration of knowledge across these different sectors. In addition, it is only recently that advances in artificial intelligence and machine learning, and increases in “big data” computing capacity, have made it possible to harness the large volumes of data involved in digesting and analyzing immensely complex matrices of information interconnected across multiple scales and multiple morbidities.”

In addition to obtaining background information on this patent, NewsRx editors also obtained the inventors’ summary information for this patent: “A personal health system, method and device that maintains a health knowledge base, inputs user characteristics, generates health scores based on the user characteristics and provides recommendations based on the user characteristics, health scores and knowledge base, wherein the recommendations are indicated by the knowledge base to be likely to improve the user’s health scores.

“A first aspect is directed to a personal health system for providing customized health recommendations to one or more users. The personal health system comprises a health knowledge base stored on a non-transitory computer-readable medium and including a plurality of tuples that each include a condition a user is able to have, a factor that affects the condition, and relationship that defines how the factor affects the condition, at least one computing device coupled with the knowledge base and including a processor and a non-transitory computer-readable medium coupled with the processor and storing a personal health platform having a user interface, wherein when executed by the processor the personal health platform is operable to provide a graphical input interface that provides a series of prompts guiding a user to input personal characteristics of the user, the personal characteristics including at least a location of the user, automatically correlate one or more environment parameters with the location of the user based on one or more environmental parameter databases thereby generating an expanded user profile for the user including both the personal characteristics and the correlated environmental parameters and generate one or more recommendations for the user by determining and selecting one or more of the tuples whose condition matches at least one of the personal characteristics and the environmental parameters of the user, and displaying an image associating the factor and the condition of the one or more of the tuples and instructing to increase or decrease the factor.

“In some embodiments, the personal characteristics include one or more of a group consisting of: age, sex, genetics of the user, allergies, eating habits, smoking habits, current medications, current medical conditions, occupation, physical activity habits, sleep habits, stress levels and social habits. In some embodiments, the environment parameters include one or more of a group consisting of: air quality, quantity of blue space, quantity of green space, weather, socioeconomic status, food accessibility, and healthcare accessibility. In some embodiments, the personal health platform is operable to prevent selection of recommendations whose factor matches one of the allergies of the personal characteristics of the user. In some embodiments, each of the tuples include metadata indicating demographic data of a population to which the factor, condition and relationship of the tuple applies. In some embodiments, the personal health platform is operable to determine a subset of the tuples whose demographic data corresponds to the personal characteristics of the user, and when selecting the recommendations, only compare the at least one of the personal characteristics and the environmental parameters with subset of the tuples. In some embodiments, the personal health platform is operable to determine a physical activity score, a social activity score, a sleep score, a pathogen risk score, a stress score and a nutrition score for the user based on the personal characteristics of the user.

“In some embodiments, the personal health platform is operable to select and display one or more recommendations for the user based on at least one of the physical activity score, the social activity score, the sleep score, the pathogen risk score, the stress score and the nutrition score. In some embodiments, the personal health platform is operable to adjust at least one of the physical activity score, the social activity score, the sleep score, the pathogen risk score, the stress score and the nutrition score based on the genetics of the user. In some embodiments, the personal health platform is operable to after at least a predetermined period has elapsed since one of the recommendations was displayed to the user, input from the user whether the user has followed the one of the recommendations, input from the user updates to one or more of the personal characteristics of the user, adjust the tuple upon which the one of the recommendations was based when the user followed the one of the recommendations and the user updates indicate a change to one or more of the personal characteristics of the user that were matched with the condition of the tuple. In some embodiments, the personal health platform is operable to adjust the tuple upon which the one of the recommendations was based by performing one or more of a group consisting of: changing a relationship strength value of the tuple, removing the tuple from the knowledge base, and creating a new tuple having the same condition, but with a different factor, relationship, or both as the tuple upon which the one of the recommendations was based.

“A second aspect is directed to a non-transitory computer-readable medium storing a personal health platform for providing customized health recommendations to one or more users, the personal health platform in communication with a health knowledge base including a plurality of tuples that each include a condition a user is able to have, a factor that affects the condition, and relationship that defines how the factor affects the condition, wherein when executed by a processor the personal health platform is operable to provide a graphical input interface that presents prompts guiding a user to input personal characteristics of the user, the personal characteristics including at least a location of the user, automatically correlate one or more environment parameters with the location of the user based on one or more environmental parameter databases thereby generating an expanded user profile for the user including both the personal characteristics and the correlated environmental parameters and generate one or more recommendations for the user by determining and selecting one or more of the tuples whose condition matches at least one of the personal characteristics and the environmental parameters of the user, and displaying an image associating the factor and the condition of the one or more of the tuples and instructing to increase or decrease the factor.”

The claims supplied by the inventors are:

“1. A personal health system for providing customized health recommendations to one or more users, the personal health system comprising: a health knowledge base stored on a non-transitory computer-readable medium and including a plurality of tuples that each include a condition a user is able to have, a factor that affects the condition, and relationship that defines how the factor affects the condition; at least one computing device coupled with the knowledge base and including a processor and a non-transitory computer-readable memory coupled with the processor and storing a personal health platform having a user interface, wherein when executed by the processor the personal health platform is operable to: generate a graphical input interface on the device that provides a series of digital prompts guiding a user to input personal characteristics of the user, the personal characteristics including at least a location of the user; store an expanded user profile on the non-transitory computer-readable memory that correlates one or more environment parameters with the location of the user based on one or more environmental parameter databases, the expanded user profile including both the personal characteristics and the correlated environmental parameters; and generate one or more recommendations for the user as a digital display of an image on the computing device by reading the non-transitory computer-readable medium to track one or more of the tuples whose condition matches at least one of the personal characteristics and the environmental parameters of the user, the image indicating an association of the factor and the condition of the one or more of the tuples and whether to increase or decrease the factor.

“2. The personal health system of claim 1, wherein the personal characteristics include one or more of a group consisting of: age, sex, genetics of the user, allergies, eating habits, smoking habits, current medications, current medical conditions, occupation, physical activity habits, sleep habits, stress levels and social habits.

“3. The personal health system of claim 2, wherein the environment parameters include one or more of a group consisting of: air quality, quantity of blue space, quantity of green space, weather, socioeconomic status, food accessibility, and healthcare accessibility.

“4. The personal health system of claim 3, wherein the personal health platform is operable to prevent selection of recommendations whose factor matches one of the allergies of the personal characteristics of the user.

“5. The personal health system of claim 4, wherein each of the tuples include metadata indicating demographic data of a population to which the factor, condition and relationship of the tuple applies.

“6. The personal health system of claim 5, wherein the personal health platform is operable to determine a subset of the tuples whose demographic data corresponds to the personal characteristics of the user, and when selecting the recommendations, only compare the at least one of the personal characteristics and the environmental parameters with subset of the tuples.

“7. The personal health system of claim 6, wherein the personal health platform is operable to determine a physical activity score, a social activity score, a sleep score, a pathogen risk score, a stress score and a nutrition score for the user based on the personal characteristics of the user.

“8. The personal health system of claim 7, wherein the personal health platform is operable to select and display one or more recommendations for the user based on at least one of the physical activity score, the social activity score, the sleep score, the pathogen risk score, the stress score and the nutrition score.

“9. The personal health system of claim 8, wherein the personal health platform is operable to adjust at least one of the physical activity score, the social activity score, the sleep score, the pathogen risk score, the stress score and the nutrition score based on the genetics of the user.

“10. The personal health system of claim 1, wherein the personal health platform is operable to: after at least a predetermined period has elapsed since one of the recommendations was displayed to the user, input from the user whether the user has followed the one of the recommendations; input from the user updates to one or more of the personal characteristics of the user; adjust the tuple upon which the one of the recommendations was based when the user followed the one of the recommendations and the user updates indicate a change to one or more of the personal characteristics of the user that were matched with the condition of the tuple.

“11. The personal health system of claim 10, wherein the personal health platform is operable to adjust the tuple upon which the one of the recommendations was based by performing one or more of a group consisting of: changing a relationship strength value of the tuple, removing the tuple from the knowledge base, and creating a new tuple having the same condition, but with a different factor, relationship, or both as the tuple upon which the one of the recommendations was based.

“12. The system of claim 1, wherein one or more of the relationships of the tuples indicate whether the factor of that tuple improves or worsens the condition of the tuple.

“13. A non-transitory computer-readable medium storing a personal health platform for providing customized health recommendations to one or more users, the personal health platform in communication with a health knowledge base stored on a non-transitory computer-readable memory and including a plurality of tuples that each include a condition a user is able to have, a factor that affects the condition, and relationship that defines how the factor affects the condition, wherein when executed by a processor the personal health platform is operable to: generate a graphical input interface that presents digital prompts guiding a user to input personal characteristics of the user, the personal characteristics including at least a location of the user; store an expanded user profile on the non-transitory computer-readable medium that correlates one or more environment parameters with the location of the user based on one or more environmental parameter databases, the expanded user profile including both the personal characteristics and the correlated environmental parameters; and generate one or more recommendations for the user as a digital display of an image by accessing the non-transitory computer-readable memory to track one or more of the tuples whose condition matches at least one of the personal characteristics and the environmental parameters of the user, the image indicating an association of the factor and the condition of the one or more of the tuples and whether to increase or decrease the factor.

“14. The non-transitory computer-readable medium of claim 13, wherein the personal characteristics include one or more of a group consisting of: age, sex, genetics of the user, allergies, eating habits, smoking habits, current medications, current medical conditions, occupation, physical activity habits, sleep habits, stress levels and social habits.

“15. The non-transitory computer-readable medium of claim 14, wherein the environment parameters include one or more of a group consisting of: air quality, quantity of blue space, quantity of green space, weather, socioeconomic status, food accessibility, and healthcare accessibility.

“16. The non-transitory computer-readable medium of claim 15, wherein the personal health platform is operable to prevent selection of recommendations whose factor matches one of the allergies of the personal characteristics of the user.

“17. The non-transitory computer-readable medium of claim 16, wherein each of the tuples include metadata indicating demographic data of a population to which the factor, condition and relationship of the tuple applies.

“18. The non-transitory computer-readable medium of claim 17, wherein the personal health platform is operable to determine a subset of the tuples whose demographic data corresponds to the personal characteristics of the user, and when selecting the recommendations, only compare the at least one of the personal characteristics and the environmental parameters with subset of the tuples.

“19. The non-transitory computer-readable medium of claim 18, wherein the personal health platform is operable to determine a physical activity score, a social activity score, a sleep score, a pathogen risk score, a stress score and a nutrition score for the user based on the personal characteristics of the user.

“20. The non-transitory computer-readable medium of claim 19, wherein the personal health platform is operable to select and display one or more recommendations for the user based on at least one of the physical activity score, the social activity score, the sleep score, the pathogen risk score, the stress score and the nutrition score.

“21. The non-transitory computer-readable medium of claim 20, wherein the personal health platform is operable to adjust at least one of the physical activity score, the social activity score, the sleep score, the pathogen risk score, the stress score and the nutrition score based on the genetics of the user.”

There are additional claims. Please visit full patent to read further.

For more information, see this patent: Carlone, Terry. Personalized health system, method and device having a recommendation function. U.S. Patent Number 11791025, filed March 25, 2022, and published online on October 17, 2023. Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(11791025)&db=USPAT&type=ids

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