Treatment recommendations using genomic data and reinforcement learning

Abstract

Methods, systems, apparatuses, devices, and computer program products are described. A system may use a rules engine and a reinforcement learning artificial intelligence (AI) model to recommend treatment options for a patient. In some examples, the AI model may be trained for a specific diagnosis. The system may receive patient information including the patient's diagnosis, genomic profile (e.g., partial or full genomic information), and treatment history. The system may input the genomic profile into the rules engine to determine any relevant treatment modifications for the user based on biomarkers in the genomic profile. The system may additionally input the patient information into the AI model to determine a set of treatment option recommendations and corresponding confidence metrics. The system may send the treatment option recommendations (e.g., which in some cases may be modified based on the output of the rules engine) to a user device for display.

CPC Classifications