66 – Knowledge Graphs for Pharma: Powered by Data & AI Using KG4P

Speaker:

• Sébastien Tourlet, Director, Data Science & Engineering, Cap Gemini

Session type: Full Length Session

Abstract: KG4P uses an integrated technological stack including Neo4j, Dataiku, and Linkurious to build, refactor, exploit, and visualize a multi-source, life science knowledge graph. This graph is used to identify biomarkers for multiple myeloma. The Neo4j, Dataiku, and Linkurious Partnership as a product offers an all-in-one technical stack to accelerate data-driven use cases and projects. This versatile and agile solution eases the highlighting of hidden results and opportunities (new drug targets, strong biomarkers, new indicators, best drug responders, new collaborations, etc.). KG4P leverages data and insights and breaks data silos using graph technology – an all-in-one technical stack to cross data and generate operational insights.