Twin Health, Inc.

Jahangir Mohammed

Terrence Chun Yin Poon

Mulk Abdul Maluk Mohamed

Wei Tian

Lihuan Xie

Amit Shrivastava

A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.

Metabolic health using a precision treatment platform enabled by whole body digital twin technology

A patient health management platform determines of a metabolic state for a first time period. The platform generates a patient-specific treatment recommendation for a second time period following the first time period that identifies objectives for the patient to complete to improve the metabolic state determined for the first time period. Periodically during the second time period, the platform receives recordings of patient data indicating foods consumed by the patient, medication taken by the patient, and/or symptoms experienced by the patient. The platform compares the received recordings of patient data from the second time period to the generated patient-specific treatment recommendation to determine a number of objectives completed by the patient and updates a score representing n adherence of the patient to the patient-specific treatment recommendation based the number of completed objectives. The platform provides the patient-specific treatment recommendation to the patient device for display to the patient.

Capturing and measuring timeliness, accuracy and correctness of health and preference data in a digital twin enabled precision treatment platform

Precision treatment platform enabled by whole body digital twin technology

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Los Gatos, CA, United States of America

Jahangir Mohammed