Evidence at the Speed of Science: How Leading Pharma Is Putting AI to Work in R&D

Videos

Speakers: Joe Gigliotti, MD, MBA & Vinayagam Arunachalam

Event Overview:

Takeda's Head of Computational & Systems Biology joins Causaly to share how AI evidence synthesis is compressing R&D timelines from indication expansion to Phase 3 decisions. Hear the real use cases, real results, and real lessons from the frontline of pharma AI adoption.

Key Learning Objectives:

Understand why purpose-built scientific AI outperforms general LLMs for R&D
Gain insight from real use cases: indication expansion, MoA analysis, Phase 3 support
Know how to scale AI adoption from early pilots to team-wide practice

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Evidence at the Speed of Science: How Leading Pharma Is Putting AI to Work in R&D

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Speed without compromise: accelerating early-phase clinical trials

Closing the gap between scientific insight and medical impact with agentic AI and unified intelligence

Truth Over Comfort – Christian Stegmann

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Evidence at the Speed of Science: How Leading Pharma Is Putting AI to Work in R&D

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Speed without compromise: accelerating early-phase clinical trials

Closing the gap between scientific insight and medical impact with agentic AI and unified intelligence

Truth Over Comfort – Christian Stegmann

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