How modern AI is rewiring the life-science stack—from target discovery to first-in-human. This episode unpacks foundation models for proteins/RNAs, generative chemistry, AI-guided ADMET/PK, phenotypic screening on organoids with high-content imaging, multi-omics integration, and self-driving labs with active learning. We compare what’s hype vs. real, walk through validation loops (prospective wet-lab tests, reproducibility, bias control), and map the path to clinic and regulation. Case studies highlight wins and failures—and where AI can truly compress timelines and costs.Educational content only; not medical advice