AI at the Intersection of Bio with Vijay Pande, Surya Ganguli, and Bowen Liu

Surya Ganguli and Bowen Liu join Vijay Pande to examine how machine learning can support biological discovery and drug development. They compare physics-based modelling, learned molecular representations and self-supervised foundation models; discuss protein structures, target identification and generative molecule design; and explain why experimental validation and generalisation beyond training data remain difficult. The conversation also considers interpretable cellular representations and the potential role of AI in clinical-trial recruitment and prediction. The publisher provides an accompanying transcript.