LIVE WEBINAR
Thursday, November 5th | 11am ET
Duration: 1 hour
Can't make the live date? Register and we'll send you a link to the recording. ​

AI is transforming drug discovery, but its impact is limited without a coherent knowledge layer for biological reasoning. There's no unifying glue that connects the disparate pieces of data, literature, and evidence into AI-suitable inputs. Or is there? Researchers are starting to think knowledge graphs can be that glue.

Drawing on the expertise of Jesper Ryge, PhD (Director & Head, Computational Biology in Neuroscience & Immunology, Merck KGaA), and Humberto Bastos (Vice President of Sales, Americas, QIAGEN), this session will unpack how knowledge graphs unify multiomics data, literature, and experimental evidence into a reasoning-ready system.

You'll learn:

• How graph-based discovery and disease mechanism mapping constrain AI to relevant evidence subgraphs
• How you can ensure AI-generated answers are defensible and traceable to specific citations
• Why expert human curation is essential for building evidence-based systems

SPEAKERS

Jesper Ryge, PhD
Director, Computational Biology
Merck KgaA
 

Humberto Bastos
Vice President of Sales, Americas
QIAGEN Digital Insight