Explore how knowledge graphs integrate multi-source biological data, such as genetic, proteomic, and clinical information, into unified models that accelerate target discovery and disease understanding, with AI enhancing the extraction of actionable insights.
Learn how data normalization and the latest curation strategies ensure that biological datasets are clean, standardized, and AI-ready, enabling accurate analysis and improved model performance for drug development.
Speaker(s):

Daniyal Hussain
Executive Director, Technology Business Development
GSK

Michael Steinbaugh
Director, Data, AI & Genome Sciences
Merck

Shameer Khader
Executive Director, Precision Medicine & Computational Biology
Sanofi
Time:
2:30 PM - 3:00 PM
Agenda Track No.:
Track 1
Session Type:
General Session (Presentation)