Machine learning to select digital therapeutics

A computer system uses artificial intelligence to select personalized digital health programs for individuals. It monitors a person's health using surveys and sensors, identifies symptoms, and then a trained AI model recommends the most applicable digital therapeutic. The system delivers the program, tracks the person's response, and adjusts it as needed, with one version specifically tailored for COVID-19.

Why it matters: Since 2021, advancements in AI and sensor integration have made processing diverse health data for symptom detection and personalized therapeutic selection far more robust. This enables more sophisticated and accurate model training and application than was readily achievable five years ago.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, machine learning, sensor integration

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