Harvard researchers publish BrainIAC foundation model in Nature Neuroscience, predicting dementia, stroke, and cancer from 48,900 MRI scans.

Harvard-affiliated researchers have developed BrainIAC, a groundbreaking AI foundation model trained on nearly 49,000 brain MRI scans that can predict brain age, assess dementia risk, and forecast cancer survival outcomes. The self-supervised learning model represents a major advancement in medical AI, offering a generalizable tool for analyzing routine brain MRIs to identify health risks and improve early diagnosis across multiple neurological and oncological conditions.

Harvard researchers debut BrainIAC, an AI tool trained on 49,000 brain scans that predicts brain age, dementia risk, and cancer survival with superior accuracy.

Utah has partnered with health tech startup Doctronic to launch an AI system that will autonomously renew approximately 200 common medications after performing clinical evaluations. The initiative raises critical questions about FDA oversight authority as Doctronic claims its AI doctor doesn't require regulatory approval.

Deep learning tool provides unprecedented 3D visualization of cochlear hair cells, advancing hearing loss treatment research.

MIT researchers demonstrate that best-performing machine learning models can become worst-performing when applied to new data environments, revealing hidden risks from spurious correlations in medical AI and other critical applications.