Sleep metrics from machine learning for Alzheimer’s disease diagnostics

This proposal aims to develop and validate deep learning tools to discover sleep-based predictors for Alzheimer’s disease through analysis of sleep, activity, and cognitive data.

Co-PIs: Joyita Dutta, Richa Saxena