Patent ID: 11881314
Assignee: NORTHWESTERN UNIVERSITY
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A method of training a machine learning system for determining associations between foods and diseases for individuals, the method comprising:
receiving training data comprising food intake data, genetic or metabolic information data, and disease data for a plurality of individuals;
populating a chemical compounds layer of the machine learning system with digital representations of chemical compounds of foods included in the food intake data;
filtering the digital representations of the chemical compounds based on the genetic or metabolic information data, the filtering producing a reduced set of the digital representations of the chemical compounds, the reduced set facilitating efficient processing of the machine learning system;
populating a disease layer of the machine learning system with a digital model of a disease included in the disease data; and
creating or modifying links coupling the chemical compounds layer and the disease layer based on the received training data using the machine learning system, the links providing for the identification of chemical risk factors associated with consumed foods for the disease based on the genetic or metabolic information data.