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
- OneOncology and OpenEvidence Partner to Improve Cancer Care Nationwide (OneOncology)
- FIT-Based Screening Linked to Drop in Colorectal Cancer Mortality (Medpage Today)
- Vedanta Biosciences Secures $60 Million in Funding and Strengthens Leadership Team Ahead of Pivotal Phase 3 Data (Business Wire)
- The physician opportunity cost nobody puts on a bill (KevinMD)
- A ‘molecular switch’ that heals the gut—and that colorectal cancer hijacks to spread (Medical Xpress)
- Why gastroenterology is especially exposed to predatory contracts, GI says (Becker’s GI & Endoscopy)
- The Microbiome Is Not a Bar Code
- Not All False-Positive Stool DNA Tests Should be Dismissed (GI & Endoscopy News)
