US 11,707,226 B2
Precision treatment platform enabled by whole body digital twin technology
Jahangir Mohammed, Los Gatos, CA (US); Mulk Abdul Maluk Mohamed, Tiruchirappalli (IN); Terrence Chun Yin Poon, Foster City, CA (US); and Wei Tian, Sunnyvale, CA (US)
Assigned to TWIN HEALTH, INC., Mountain View, CA (US)
Filed by Twin Health, Inc., Mountain View, CA (US)
Filed on Mar. 16, 2021, as Appl. No. 17/202,352.
Application 17/202,352 is a continuation of application No. 16/993,177, filed on Aug. 13, 2020.
Claims priority of provisional application 62/989,557, filed on Mar. 13, 2020.
Claims priority of provisional application 62/894,049, filed on Aug. 30, 2019.
Claims priority of application No. 201941032787 (IN), filed on Aug. 13, 2019; and application No. 201941037052 (IN), filed on Sep. 14, 2019.
Prior Publication US 2021/0219910 A1, Jul. 22, 2021
Int. Cl. G16H 50/50 (2018.01); G16H 10/60 (2018.01); G06N 20/00 (2019.01); A61B 5/00 (2006.01); G16H 15/00 (2018.01); A61B 5/11 (2006.01); A61B 5/145 (2006.01); G16H 50/30 (2018.01); G16H 40/67 (2018.01); G16H 20/10 (2018.01); G16H 20/60 (2018.01); G16H 50/20 (2018.01); G16H 10/40 (2018.01); A61B 5/0205 (2006.01)
CPC A61B 5/4866 (2013.01) [A61B 5/1118 (2013.01); A61B 5/14532 (2013.01); A61B 5/486 (2013.01); A61B 5/4833 (2013.01); A61B 5/6801 (2013.01); A61B 5/6802 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); A61B 5/742 (2013.01); A61B 5/749 (2013.01); A61B 5/7475 (2013.01); G06N 20/00 (2019.01); G16H 10/40 (2018.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 20/10 (2018.01); G16H 20/60 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); A61B 5/0205 (2013.01)] 30 Claims
OG exemplary drawing
 
1. A method for generating a personalized metabolic treatment recommendation for a patient, the method comprising:
accessing, by a health management platform from a data store, a personalized metabolic profile of the patient and a plurality of biosignals recorded for the patient during a current time period, the plurality of biosignals comprising one or more of: 1) sensor data collected during the current time period by one or more wearable sensors worn by the patient and 2) lab test data collected during the current time period describing blood work conducted on the patient;
receiving, by user input to an application on a patient device, a timeline of patient data recorded during the current time period, the recorded patient data comprising one or more of: 1) food items consumed by the patient during the current time period, 2) medications taken by the patient during the current time period, and 3) symptoms experienced by the patient during the recorded time;
accessing a nutrition database storing nutrition data for food items in different food categories, wherein the nutrition data describes types of nutrients in the food items and an amount of each nutrient in the food item;
determining the nutrition data for each food item consumed by the patient during the current time period by identifying in the nutrition database each food item that was consumed by the patient, wherein the determined nutrition data is aggregated into the timeline of patient data recorded during the current time period;
determining, by a machine-learned metabolic model, a true representation of a metabolic state of the patient during the current time period by inputting the plurality of biosignals recorded during the current time period to the machine-learned metabolic model;
determining, by the machine-learned metabolic model, a prediction of the metabolic state of the patient during the current time period by inputting the determined nutrition data to the machine-learned metabolic model;
comparing the true representation of the metabolic state and the prediction of the metabolic state to determine whether the true representation and the prediction satisfy a threshold level of similarity;
responsive to the comparison satisfying the threshold level of similarity, generating a patient-specific treatment recommendation based on a comparison of the prediction of the metabolic state with a baseline metabolic state, the patient-specific treatment recommendation outlining instructions for the patient to improve the metabolic state of the patient during a subsequent time period; and
providing, for display to the patient, the patient-specific treatment recommendation to the patient device.