Big Data Researchers Aim to Build Better Models to Predict Cancer Outcomes

A team of “big data” researchers at the University of Pittsburgh and Carnegie Mellon University, in collaboration with UPMC and the Pittsburgh Supercomputing Center, are working to develop better methods for integrating, analyzing and modeling large volumes of diverse data on cancer patients. The ultimate goal of this project, which is supported by a $5 million, three-year Commonwealth Universal Research Enhancement (CURE) grant from the Pennsylvania Department of Health, is to produce more accurate predictions of patient outcomes and to enable clinicians to tailor care for each patient.

Watch Gregory Cooper, MD, PhD, Professor and Vice Chair of Biomedical Informatics and Contact Principal Investigator for this Big Data for Better Health (BD4BH) grant, discuss the ongoing work of their collaborative team, and read the initial press release here.