Automated CT scan analysis could fast-track clinical assessments
Peer-Reviewed Publication
Updates every hour. Last Updated: 12-Jun-2026 00:15 ET (12-Jun-2026 04:15 GMT/UTC)
A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D abdominal computed tomography (CT) scans, accomplishing tasks as simple as identifying anatomical features to as complex as predicting disease onset years in advance. Despite being developed as a general-purpose CT model, Merlin surpassed a gauntlet of similar automated tools in tasks they were specifically built to handle.
Low-quality AI content hurts both consumers and professional content creators, according to a new market study, but if AI-generated content improves enough, it could ultimately help consumers, novice artists and professional content creators
A research paper by scientists at King’s College London presented SimTac, a physics-based simulator for vision-based tactile sensors with biomorphic geometries, capable of generating accurate optical and mechanical responses in real time.
The research paper, published on Feb 24, 2026 in the journal Cyborg and Bionic Systems.FAU has received a U.S. Air Force T-1A Jayhawk Mixed Reality and 3D Motion flight simulator through an in-kind grant from the U.S. Air Force Office of Scientific Research. The motion-enabled, open-architecture system replicates real flight conditions for high-risk, cost-effective experimentation. It will support cross-disciplinary work in neuroscience, biomedical engineering, cybersecurity, robotics and systems engineering. The simulator provides hands-on training opportunities for students and faculty, fosters collaboration with industry and federal partners, and establishes FAU as a hub for experimentation in next-generation autonomous and AI-enabled systems.