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Pharma teams are racing to build trustworthy, explainable AI workflows. Complete, curated patent data is the foundation.

How do Medical Affairs and publications teams decide where to publish?

How are organizations architecting functional AI strategies that will shape the next phase of AI in Medical Affairs?

Discover what it takes to make AI-assisted systematic literature reviews defensible. This white paper gives you the questions and evidence to …

New reports help medical affairs teams connect published research to real-world outcomes, including clinical guidelines

How Moderna Medical Affairs replaced a set-once scientific communications platform with ReadCube libraries that keep pandemic-era research …

Only alternative metrics can tell Medical Affairs teams if research is landing in real-time.

How did a major research lab collapse? Dimensions and Retraction Watch investigate data integrity and the lifecycle of retractions.

By integrating with SAP HANA® Cloud Knowledge Graph Engine, metaphactory from Digital Science delivers a seamless, AI-ready Knowledge Graph …

Learnings from a Digital Science-hosted roundtable discussion at AI in Drug Discovery hubXchange 2026.

Key takeaways and insights from Mark Hahnel’s keynote speech at AI in Drug Discovery hubXchange 2026.

This first of a new series – Inside Our Data – explores the foundational data infrastructure that makes trust possible.