From Models to Medicines - Delivering on the Promise of AI-Driven Drug Discovery

Explore the transformative potential of artificial intelligence in pharmaceutical development through this keynote presentation from the Machine Learning in Drug Discovery Symposium. Learn how AI-driven approaches are revolutionizing the journey from computational models to actual medicines, as Thomas Miller from Iambic Therapeutics delivers insights on delivering on the promise of machine learning in drug discovery. Discover cutting-edge applications of ML techniques across target validation, hit identification and optimization, clinical trial design, biologics development, and other critical areas of pharmaceutical research. Gain understanding of recent progress in applying machine learning to accelerate drug discovery processes and overcome traditional challenges in bringing new therapeutics to market. This presentation was delivered at the Broad Institute's hybrid symposium that brings together researchers working at the intersection of machine learning and drug discovery for knowledge sharing and networking opportunities.