New Streamlined Statistical Method Provides Improved Pattern Detection and Risk Prediction for Disease

New Streamlined Statistical Method Provides Improved Pattern Detection and Risk Prediction for Disease

Researchers from the Renaissance Computing Institute (RENCI) at UNC-Chapel Hill, Perspectrix, the UNC School of Medicine, and the WVU Rockefeller Neuroscience Institute have collaborated to develop a new method for finding patterns in data which arguably surpasses the performance of a generally accepted “gold standard.”