Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Watch a 22-minute symposium talk from the Machine Learning in Drug Discovery series where Associate Professor Jian Tang from Mila-Quebec AI Institute and HEC Montreal explores geometric deep learning approaches for protein understanding and design. Delve into cutting-edge artificial intelligence applications in protein science, focusing on how geometric deep learning techniques can be leveraged to better comprehend protein structures and facilitate innovative protein design strategies. Learn about the intersection of machine learning and drug discovery through this presentation delivered at the Broad Institute's specialized symposium.