At the ECCO 2025 Congress, researchers presented a study showing that machine learning can identify gut microbial biomarkers that differentiate IBD patients—particularly those with Crohn’s disease—from healthy individuals. The study analyzed stool samples from over 3,700 participants, finding that supervised machine learning had the highest diagnostic accuracy (AUC 0.971).
Trending
- Pfizer’s $10B monthly GLP-1 bet generates competitive weight loss in phase 2b (Fierce Biotech)
- ‘AI-native’ outpatient surgery startup Oath Surgical inks Nvidia partnership (Fierce Biotech)
- NVIDIA, Oath Surgical, ASCs and the Future of Physical AI in Healthcare (LSI | LinkedIn)
- UMass Successfully Performs Its First Full-Thickness Resection Device Procedure (UMass Chan Medical School)
- 5 gastroenterology physician moves in 1 month (Becker’s GI & Endoscopy)
- Artificial Intelligence on Trial: Who’s Liable When Clinical Algorithms Go Wrong? (Medscape)
- Building the Future Gastroenterologist: Why Nutrition and Lifestyle Medicine Must Be Core Competencies (ACG Case Reports Journal)
- Spray Cryotherapy Esophageal Consortium Consensus Recommendations for Liquid Nitrogen Spray Cryotherapy in Barrett’s Esophagus and Esophageal Cancer Using a Modified Delphi Process (The American Journal of Gastroenterology)
