Neo4j Live: Crossr – Knowledge Graph based Drug Discovery

25 Jan, 2023

Knowledge graphs are key to extracting insight from volumes of available biomedical data. In this session, we’ll cover a practical example of how Neo4j + Graph Data Science can be used to create graph-based features to help identify potential gene targets for a given disease. Crossr: Blog: Ben Vozza: Lightning Talk @ NODES 2022: All biology is computational biology: Hetionet: Open Targets: Clinical Knowledge Graph: A systems-level framework for drug discovery identifies Csf1R as an anti-epileptic drug target StringDB: StringDB: Doctor.AI Live Stream: 0:00 Intro 3:40 Crossr Overview 7:05 Open Data in Life Sciences 13:00 Biomedical Knowledge Graph – Crossr Demo 19:05 FDA Modernization Act 2.0 24:10 Crossr Demo (contd) 44:10 Q&A & Contact 1:01:00 WrapUp #neo4j #lifescience #healthcare #biomedical #knowledgegraph

Related Videos