We develop computational methods for lab medicine
We are part of the Department of Laboratory Medicine & Pathology. Hospitals collect so much data through laboratory testing, and we want to use it better. We build computational tools to improve patient care, save clinician time, and uncover physiologic insights. Our approaches intersect math modelling and machine learning with large-scale, multi-modal clinical data. We work on problems across medicine, but are particularly focused on hematology, cardiology, and critical care.
RECENT NEWS
- Dec 2024: New paper in Nature!
- Sep 2024: Amber Chen and Namrata Harish join the lab!
- Aug 2024: Foy lab wins ADLM Distinguished Abstract Award
- June 2024: Cindy Zhang joins the lab!
- May 2024: New paper in the New England Journal of Medicine