Navigating the Future of AI in Pharma: AI agents will need limitations

AI has revolutionized drug discovery by enabling scientists to process vast amounts of historical data, thus accelerating the identification of disease targets and molecule development. AI helps avoid past mistakes and improves the quality of research, making it an indispensable tool in the lab. MSD's approach to AI involves a blend of internal talent and strategic partnerships. By combining computational and web science expertise, MSD ensures that both technological and scientific endpoints are effectively addressed, says Matt Studney, SVP of Research Labs at MSD.

Topics addressed:
Internal vs. External AI Development at MSD
Global Data Management Challenges
Generative AI's Impact on Drug Discovery
Confidential AI Systems and Documentation
Challenges in AI Integration
Workforce Upskilling and Cultural Change
Future Breakthroughs and Concerns
Synthetic Data and Drug Repurposing

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