Mar. 01, 2016

New BD2K training grant in Bio-Data Science

https://www.biostat.wisc.edu/content/predoctoral-training-program-bio-data-science-bds

Problems in the generation, acquisition, management, analysis, visualization, and interpretation, of data, which have always been important players in biomedical science, now assume leading roles in the massive effort to understand health and disease. The unprecedented size, complexity, and heterogeneity of big biomedical data demands research that will allow us to more efficiently extract knowledge from data in order to make better predictions, to characterize biological systems, and generally to enable subsequent investigation. Modern biological, medical, and health studies often involve data sets from which useful, accurate information cannot be efficiently extracted with available methods. 

Research to improve the analysis of big biomedical data is active at the interface of computer sciences, statistics, and various biomedical disciplines, including genomics, molecular biology, neuroscience, cancer research, and population health.  The mission of the Bio-Data Science (BDS) training program is to provide predoctoral research training at this interface, preparing graduate students for key roles in academia, industry, or government. The BDS training program is supported by a T32 grant from the National Library of Medicine, and will be tightly integrated with the activities of the Center for Predictive Computational Phenotyping.


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