Explore the challenges impeding artificial intelligence's progress in drug discovery through this insightful 18-minute talk by Kfir Schreiber, CEO of DeepCure. Gain valuable perspectives on the current limitations and potential solutions for advancing AI applications in pharmaceutical research and development. Delve into the complexities of integrating machine learning technologies with traditional drug discovery processes, and understand the key factors that need to be addressed to unlock AI's full potential in revolutionizing the field of medicine.
Overview
Syllabus
What’s Holding Back AI in Drug Discovery?; Kfir Schreiber
Taught by
Broad Institute
Related Courses
-
Drug Discovery in Prevention and Treatment of COVID-19
-
AI in Drug Discovery: What Do We Need for Being Successful?
-
Accelerating Drug Discovery with AI - Insights from Isomorphic Labs
-
Applying Machine Learning on Drug Discovery Projects
-
Chemical Foundation Models for Drug Discovery
-
AI-Driven Drug Design: Optimizing Pharmacokinetics and ADME
