Big Data Researchers Receive Grant To Build Better Models For Predicting Cancer Outcomes

Big data researchers have received a three-year, $5 million, state Commonwealth Universal Research Enhancement, or CURE, grant to develop better methods for integrating, analyzing and modeling large volumes of diverse data on cancer patients. The goal is to produce more accurate predictions of patient outcomes and to enable clinicians to tailor care for each patient.

Greg Cooper, professor and vice chair of biomedical informatics and director of the Center for Causal Discovery at the University of Pittsburgh, and Ziv Bar-Joseph, professor of computational biology at Carnegie Mellon University, will lead the Big Data For Better Health (BD4BH) project, which also includes UPMC and the Pittsburgh Supercomputing Center.

Read the full article in CMU News.

Post Date: 
Sunday, January 24, 2016
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