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
- 7 HLTH Announcements You Don’t Want to Miss (MedCity News)
- Practical Tips for Contracting, Part 2 (GI & Endoscopy News)
- GRAIL PATHFINDER 2 Results Show Galleri® Multi-Cancer Early Detection Blood Test Increased Cancer Detection More Than Seven-Fold When Added to USPSTF A and B Recommended Screenings (GRAIL)
- Eliminating Cost Sharing Boosted Follow-Up Colonoscopy Rates (AJMC)
- St. Charles Health System Taps WovenX to Transform GI Access and Optimize Capacity (PR Newswire)
- United Digestive adds 5 gastroenterologists in 3 months (Becker’s GI & Endoscopy)
- Negotiated Prices for Large Insurers and Regional Differences in Employed Cardiology and GI Groups Revealed (Medscape)
- Health care in the USA: money has become the mission (The Lancet)
