Researchers developed Fragmentia-AI-COAD, a transformer-based AI model that analyzes cell-free DNA (cfDNA) fragmentomic patterns in blood to detect colorectal cancer (CRC) and advanced adenomas. Published in Cell Communication and Signaling, the study used low-pass whole-genome sequencing data to identify cancer-associated DNA fragmentation patterns without relying…
Two gastroenterology organizations have disclosed phishing-related data breaches that exposed sensitive patient information, highlighting the growing cybersecurity risks facing healthcare…
The American Gastroenterological Association (AGA) has awarded $2.9 million to 84 researchers, reinforcing its long-standing role in shaping the future…
A Maricopa County jury sided with a gastroenterologist accused of failing to diagnose a fatal bowel obstruction, declining a $26.6…
Helio Genomics and Quest Diagnostics have partnered to expand access to a blood-based liver cancer test across the U.S. Starting…
DDW 2026
Several studies presented at DDW 2026 highlighted emerging approaches that could reshape…
A structured triage system for interventional GI referrals changed the originally requested…
Thought Leadership
Greg O’Grady, professor of surgery at the University of Auckland and co-founder…
Gastroenterology’s growing reliance on anesthesia-supported sedation is emerging as a constraint on…
What Happens When Intelligence Becomes Part of the Infrastructure By Dr. Charles…
ARTIFICIAL INTELLIGENCE (AI)
Tech & Innovation
Researchers developed a deep learning algorithm to estimate the location of a colon capsule endoscopy device as it moves through the large bowel. Accurate localization could…
Exponential Tech
Researchers developed a deep learning algorithm to estimate the location of a…
Leadership
A report from the American College of Gastroenterology’s (ACG) Workforce of the…