Individual-level Data Integration using Graph Approaches – GT Pharma 2025

  • Length: 20 min

GraphTalk Pharma & LifeScience 2025

In this session, Bayer explores how graph-based, patient-centric data integration can shift R&D from acceleration to smarter decision-making. Learn how “patient maps” help uncover disease mechanisms, enable therapeutic hypotheses, and improve clinical trial success. Packed with real-world insights into graph embeddings, evidence chains, and precision medicine strategies.

Speaker

Mahmoud Ibrahim - Mission Lead – Data Science & AI, Bayer AG