Roberto M. Benzo

Roberto M. Benzo's research focuses on using wearable sensors, smartphone-based tracking (ecological momentary assessment), and mobile health technology to monitor and support people managing chronic illnesses, including cancer, COPD, and substance use. Much of the work examines how to collect health data passively (through devices) or actively (through surveys) in ways that are practical, inclusive, and useful for predicting outcomes like rehabilitation engagement or stress. The work often applies machine learning and AI methods to these data streams and considers supportive care needs of patients, including underserved populations.

Publication output has grown substantially over the last decade, rising from just 1-2 papers per year in 2017-2019 to a peak of 14 in 2025, indicating an accelerating and increasingly active research output in recent years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026