Patent ID: 11957484
Assignee: TWIN HEALTH, INC.
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 0:
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;
receiving, by user input to an application on a patient device, a timeline of patient data recorded during the current time period comprising food items consumed by the patient during the current time period;
determining nutrition data for each food item consumed by the patient during the current time period;
determining, by a machine-learned metabolic model, a 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 representation of the metabolic state and the prediction of the metabolic state to determine whether the representation and the prediction satisfy a threshold level of similarity;
responsive to the comparison satisfying a 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.