{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11257209","patent":{"patent_number":"US-11257209","title":"Cancer risk stratification based on histopathological tissue slide analysis","assignee":null,"inventors":[],"filing_date":"2017-06-02T00:00:00.000Z","publication_date":"2022-02-22T00:00:00.000Z","cpc_codes":["G06T","G01N","G06F","G06T","G06V","G06V","G16H","G01N","G01N","G06T","G06T","G06T"],"num_claims":15,"abstract":"The subject disclosure presents systems and computer-implemented methods for providing reliable risk stratification for early-stage cancer patients by predicting a recurrence risk of the patient and to categorize the patient into a high or low risk group. A series of slides depicting serial sections of cancerous tissue are automatically analyzed by a digital pathology system, a score for the sections is calculated, and a Cox proportional hazards regression model is used to stratify the patient into a low or high risk group. The Cox proportional hazards regression model may be used to determine a whole-slide scoring algorithm based on training data comprising survival data for a plurality of patients and their respective tissue sections. The coefficients may differ based on different types of image analysis operations applied to either whole-tumor regions or specified regions within a slide."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Cancer risk stratification based on histopathological tissue slide analysis","description":"The subject disclosure presents systems and computer-implemented methods for providing reliable risk stratification for early-stage cancer patients by predicting a recurrence risk of the patient and t","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11257209","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-11257209","citation_suggestion":"Patentable. \"Cancer risk stratification based on histopathological tissue slide analysis\" (US-11257209). https://patentable.app/patents/US-11257209","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11257209","json":"https://patentable.app/api/llm-context/US-11257209","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T09:17:11.796Z"}