{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11942189","patent":{"patent_number":"US-11942189","title":"Drug efficacy prediction for treatment of genetic disease","assignee":null,"inventors":[],"filing_date":"2019-01-16T00:00:00.000Z","publication_date":"2024-03-26T00:00:00.000Z","cpc_codes":["G16B","G16H","G06N","G06N","G06N","G06N","G16B","G16B","G16B","G16H","G16H","G16H"],"num_claims":19,"abstract":"A machine learning model is generated for drug efficacy prediction in treatment of genetic disease from a dataset correlating gene expression data for disease-cell samples with drug efficacy values for the samples. Bias weights are stored that correspond to respective genes in the samples. Each bias weight is dependent on predetermined relevance of the respective gene to drug efficacy. The model is generated by processing the dataset via a tree ensemble method wherein decision trees are grown with splits corresponding to respective genes in the samples. The gene for each split is chosen from a respective subset of the genes, and genes are selected for inclusion in this subset with respective probabilities dependent on the corresponding bias weights. The model is stored, and can be applied to gene expression data measured for a patient to obtain a personalized drug efficacy prediction for devising a personalized course of treatment."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Drug efficacy prediction for treatment of genetic disease","description":"A machine learning model is generated for drug efficacy prediction in treatment of genetic disease from a dataset correlating gene expression data for disease-cell samples with drug efficacy values fo","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11942189","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-11942189","citation_suggestion":"Patentable. \"Drug efficacy prediction for treatment of genetic disease\" (US-11942189). https://patentable.app/patents/US-11942189","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11942189","json":"https://patentable.app/api/llm-context/US-11942189","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T16:15:13.226Z"}