NSF
Collaborative Research: CDS&E: Adaptive Uncertainty-Driven AI for Drug Discovery: A Conformal Prediction-Simulation Loop Approach
Collaborative Research: CDS&E: Adaptive Uncertainty-Driven AI for Drug Discovery: A Conformal Prediction-Simulation Loop Approach is a funding opportunity from NSF, closing July 31, 2029.
Jul 31, 2029
(1097d left)Overview
Yihang Wang of Case Western Reserve University, and collaborator Lu Cheng of the University of Illinois Chicago, are supported to develop artificial-intelligence (AI) methods that quantify their own uncertainty and refine themselves through molecular simulation for more reliable computational drug discovery. The…