Testing machine learning of multimodal digital markers for early detection of cognitive impairment in Alzheimer's Disease rhoda

Abstract

Background: Alzheimer's disease (AD) precision medicine will advance through the application of two key technological advances: 1) digital technologies that can more deeply characterize clinically relevant symptoms and 2) machine learning (ML) approaches the can classify subgroups with shared characteristics that could