Precision treatment with machine learning and digital twin technology for optimal metabolic outcomes
US11185283B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 16, 2021 |
| Grant date | Nov 30, 2021 |
| Priority date | — |
| Expiry date | Mar 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/047
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
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 encodes the biosignals into a vector representation and inputs the vector representation into a patient-specific metabolic model to determine a metabolic state of the patient at a conclusion of the current time period. The patient-specific metabolic model comprises a set of parameter values determined based on labels assigned to the previous metabolic states and a function representing one or more effects of the plurality of biosignals of the personalized metabolic profile. The platform compares the determined metabolic state of the patient to a threshold metabolic state representing a target metabolism. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve the determined metabolic state to the functional metabolic state.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.