AI for Scientific Discovery

This talk examines how machine learning and artificial intelligence are being used not only in healthcare applications, but also as tools for scientific discovery in biomedicine and medicine. It traces the field from early predictive models and image-based deep learning to modern foundation models, multimodal systems, and AI-enabled software used in clinical and research settings. Rather than focusing on heavy mathematics, the emphasis is on how these methods support discovery, hypothesis generation, pattern finding, and decision-making across biological, medical, and healthcare data.