Scientists have identified seven distinct patterns of brain aging using machine learning on structural MRI scans from 48,949 individuals aged 50 and older, with direct implications for predicting Alzheimer’s disease and cardiovascular disease risk. Original paper: Coupled cross-sectional and longitudinal non-negative matrix factorization reveals dominant brain aging trajectories in 48,949 individuals. — Nature communications. 10.1038/s41467-026-72091-7 📄 Read the article