Machine Learning in Drug Discovery: From QSAR Foundations to Deep Learning, Foundation Models, and Toxicity-Ready Prediction
Drug discovery remains constrained by long development timelines, high capital requirements, and substantial attrition, particularly during clinical development and late-stage safety evaluation. Estimates of research and development (R&D) investment required per approved therapeutic agent vary widely across studies and...