We are pleased to announce that our work has been accepted for presentation at the Alzheimer’s & Parkinson’s Diseases Conference (ADPD) 2026. The study demonstrates that wearable-derived actigraphy features, combined with machine learning models, can successfully predict future cognitive decline, achieving robust performance even with a minimal set of features. These findings highlight the potential of actigraphy as a non-invasive early risk marker for cognitive deterioration.
