A machine learning model developed by researchers at the Massachusetts Institute of Technology (MIT) can predict cognitive decline due to Alzheimer’s disease up to two years in advance. The personalized Gaussian Process Experts (pGPE) model predicts Alzheimer's Disease Assessment Scale-Cognitive scores for 13 tasks (ADAS-Cog13) in people at risk for Alzheimer’s disease. ADAS-Cog tests are some of the most frequently used tests to measure cognition in research studies and clinical trials for new drugs and other interventions. These findings were presented in "Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes . . .