METHODS FOR PREDICTING POST-OPERATIVE RECURRENCE OF CROHN'S DISEASE

Patent №

US 10,697,961

Granted

2020-06-30

Filed 2016

Owner

KATHOLIEKE UNIVERSITEIT LEUVEN

+2 more

Lab

—

AI components

vision · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15161024

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The present invention provides methods for predicting post-operative recurrence of Crohn's disease (CD) in a subject. With the present invention it is possible to predict whether a patient undergoing surgical treatment of CD is at risk of developing histological, radiographic, endoscopic, and/or clinical recurrence of the disease.

Vision PlanningG01N 33/564G01N 2800/065G01N 2800/54

Google Patents

AI classification

Vision0.95

Planning0.85

AI hardware0.01

Natural language0.00

Evolutionary computation0.00

Machine learning0.00

Knowledge representation0.00

Speech0.00

Ownership

KATHOLIEKE UNIVERSITEIT LEUVEN

assignment · 412820264

NESTEC S.A.

assignment · 412820332

PROMETHEUS LABORATORIES INC.

assignment · 566350750

Assignors

FERRANTE, MARC, VERMIERE, SEVERINE

On an employer assignment, the assignors are typically the inventors.

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Related research

Identification of Potential Genes and Critical Pathways in Postoperative Recurrence of Crohn’s Disease by Machine Learning And WGCNA Network AnalysisSemantic Scholar Deep learning analysis of histologic images from intestinal specimen reveal "adipocyte shrinkage" and mast cell infiltration to predict post-operative Crohn's disease.Semantic Scholar Machine learning as a tool predicting short-term postoperative complications in Crohn’s disease patients undergoing intestinal resection: What frontiers?Semantic Scholar Can serious postoperative complications in patients with Crohn’s disease be predicted using machine learning?Semantic Scholar Development of machine learning models for predicting postoperative delayed remission of patients with Cushing's disease.Semantic Scholar

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