DRC NAAIR Supplement/Wearable Device Seminar | Office Hours 10.10.2025

In this video, Mahnaz Maddah, PhD, Arash Nargesi, MD, PhD, and Tal Shnitzer, PhD from the Machine Learning for Health (ML4H) team at the Broad Institute of MIT present an overview of their research on the All of Us - FAIR Multimodal AI/ML model for disease risk prediction. The team outlines the study’s methodology and framework, which utilizes wearable device data from the All of Us Fitbit dataset to analyze temporal, sociodemographic, and geolocation patterns in physical activity. These insights are then incorporated into an AI/ML model designed for disease classification and risk prediction.
 

Recorded October 10, 2025