- How combining continuous digital data (e.g., actigraphy, sleep patterns, vocal biomarkers) with traditional analog measures (e.g., lab tests, advanced imaging, EHR, and genomics) can accelerate clinical research
- What it will take to use machine learning models to synthesize multiple streaming features into a single composite endpoint
Isaac Galatzer-Levy, Senior Staff Research Scientist,
Google DeepMindDerek Hill, Professor of Digital Health,
UCLSrinivasan Vairavan, Director, Data Science, Digital Health,
Johnson & Johnson Innovative MedicineKevin Maresca, Head of Clinical & Translational Imaging,
Pfizer