Engineering a Data-Driven Health-Care Revolution
Graduate students studying Biomedical Engineering in the department are engineering a date-driven health-care revolution, according to a news release:
- Kevin Dick is exploring protein interactions using machine learning, seeking to identify problematic bindings that lead to illness and ultimately forge a path to therapeutic treatments to prevent them. Supervisor: James Green.
- Fatemeh Zabihollahy uses deep learning AI to identify heart damage due to heart attacks. Supervisor: Eranga Ukwatta.
- David Lu is using machine learning to help neurosurgeons better deliver treatment for Parkinson’s disease. Supervisors: Adrian Chan and Adam Sachs.
- Mohamed Abdelazez is working to reduce ECG false alarms and help health-care workers be more responsive in crisis. Supervisors: Adrian Chan and Sreeraman Rajan.
- Zachary Baird is is working on a radar-driven health monitoring system. Supervisor: Sreeraman Rajan.