A novel machine learning method identified seven reproducible brain aging patterns in 48,949 individuals, with key links to Alzheimer’s disease and cardiovascular 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