{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11302448","patent":{"patent_number":"US-11302448","title":"Machine learning to select digital therapeutics","assignee":null,"inventors":[],"filing_date":"2021-06-23T00:00:00.000Z","publication_date":"2022-04-12T00:00:00.000Z","cpc_codes":["G16H","G16H","G16H","G16H","G16H","G16H","G16H","G16H","G16H","G16H","G16H","H04W"],"num_claims":24,"abstract":"Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for machine learning to select digital therapeutics. In some implementations, a machine learning model is trained to generate scores that indicate the level of applicability of different digital therapeutics based on input data for a person. A computer system monitors health of an individual using surveys and sensor measurements. The computer system identifies one or more signs or symptoms of a disease based on the monitoring data for the individual. The computer system uses output of the machine learning model to select a digital therapeutic intervention for the user. The computer system cause one or more devices to deliver the selected digital therapeutic intervention to the individual, monitor a response of the individual to the selected digital therapeutic intervention, and adjust characteristics of the digital therapeutic intervention based on the monitored response."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Machine learning to select digital therapeutics","description":"Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for machine learning to select digital therapeutics. In some implementations, a machine learning model i","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11302448","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11302448","citation_suggestion":"Patentable. \"Machine learning to select digital therapeutics\" (US-11302448). https://patentable.app/patents/US-11302448","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11302448","json":"https://patentable.app/api/llm-context/US-11302448","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T18:52:42.407Z"}