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.

Stanford researchers have developed SleepFM, an AI model that analyzes data from one night of sleep to predict the future risk of more than 130 diseases, including cancer and dementia, with over 80% accuracy.