Explore a 29-minute talk on leveraging deep learning and knowledge graphs for drug repurposing. Learn how to accelerate the discovery of new treatments by finding novel uses for existing drugs. Dive into the process of unifying structured and unstructured data sets into a knowledge graph, and discover techniques for predicting latent relationships. Cover the essential steps of building a knowledge graph, predicting latent relationships, and applying these insights to repurpose existing drugs. Gain valuable insights into data sources, graph building, relationship extraction, and various modeling approaches. Understand how this innovative approach can significantly reduce the time and cost associated with traditional drug discovery methods.