This research uses artificial intelligence to predict the progression of Alzheimer’s disease and cancer using medical imaging data. By analyzing brain scans, tumor scans, and treatment responses, AI models can forecast disease development and treatment outcomes, enabling earlier intervention, more personalized care, and improved quality of life for aging populations.

Researchers describe a simple strategy to slow Alzheimer’s disease by capping toxic tau protein chains. Inspired by a ring-stacking toy, they engineered spiky molecular “hats” that bind tau, halt aggregation, and reduce spread in cellular and postmortem brain models, suggesting broad potential across neurodegenerative disorders with future therapeutic promise worldwide.