Title: Knowledge Graph: Drug Discovery, PubMed, and Clinical Trial
Abstract: Understanding human health and providing better care are knowledge-intensive endeavors, which cover the broad spectrum of pre-clinical and clinical practices. Multi-perspective health data have been accumulated and augmented with semantics. But the connectiveness of heterogeneous and multimodality health data remains a challenge. This talk highlights the potential of using knowledge graph to enrich the connectiveness in pre-clinical and clinical data and showcases the best practices of building drug discovery knowledge graph and PubMed knowledge graph, and applying them in clinical trial summary and medical imaging diagnosis.