{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11241190","patent":{"patent_number":"US-11241190","title":"Predicting response to therapy for adult and pediatric crohn's disease using radiomic features of mesenteric fat regions on baseline magnetic resonance enterography","assignee":null,"inventors":[],"filing_date":"2019-09-16T00:00:00.000Z","publication_date":"2022-02-08T00:00:00.000Z","cpc_codes":["A61B","A61B","A61B","G06F","G06N","G06T","G06V","G06V","G06N","G06N","G06N","G06T","G06T","G06T","G06V"],"num_claims":20,"abstract":"Embodiments discussed herein facilitate predicting response to therapy in Crohn's disease. A first set of embodiments discussed herein relates to accessing a radiological image of a region of tissue demonstrating Crohn's disease associated with a patient; defining a mesenteric fat region by segmenting mesenteric fat represented in the radiological image; extracting a set of radiomic features from the mesenteric fat region; providing the set of radiomic features to a machine learning classifier configured to compute a probability of response to therapy in Crohn's disease based, at least in part, on the set of radiomic features; receiving, from the machine learning classifier, a probability that the region of tissue will respond to therapy; generating a classification of the patient as a responder or non-responder based, at least in part, on the probability; and displaying the classification."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Predicting response to therapy for adult and pediatric crohn's disease using radiomic features of mesenteric fat regions on baseline magnetic resonance enterography","description":"Embodiments discussed herein facilitate predicting response to therapy in Crohn's disease. A first set of embodiments discussed herein relates to accessing a radiological image of a region of tissue d","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11241190","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-11241190","citation_suggestion":"Patentable. \"Predicting response to therapy for adult and pediatric crohn's disease using radiomic features of mesenteric fat regions on baseline magnetic resonance enterography\" (US-11241190). https://patentable.app/patents/US-11241190","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11241190","json":"https://patentable.app/api/llm-context/US-11241190","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T14:59:41.214Z"}