Researchers from Stanford University and Rensselaer Polytechnic Institute have developed an advanced AI model that improves the prediction accuracy of clinical trial approvals. The study, published in the journal Health Data Science, introduces a novel approach that quantifies uncertainty and enhances interpretability, significantly outperforming existing methods.
New AI model enhances clinical trial approval predictions by quantifying uncertainty
