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Bridging the Biodata Gap: Revolutionizing AI's Impact in Biopharma by Creating ”Digital Twins” of the Natural World

June 17, 2025
Breakout Session
AI and Digital Health
Biopharma’s ability to create new drugs has depended, from the start, on our collective knowledge of Earth’s genetic biodiversity. While many existing datasets have sought to describe the world, they have traditionally remained small and unrepresentative. This has put a hard ceiling on what AI can achieve in biopharma. Some companies, though, are going big, REALLY big - creating “digital twins” of the natural world at scale. This is an entirely new approach to data collection in biopharma. By applying new classes of foundational models, these companies are capturing a universe of hidden biological signals once invisible to biopharma. In turn, this has resulted in the design of genomes and proteins with unprecedented novelty, controllability, and performance. In this panel, the participants will explore the revolutionary impact, from the lab to new IP, of these new platforms in bridging the AI data gap and how biopharma is being transformed.
Moderator
Renee Yao
Ecosystem Business Development, Healthcare Life Sciences
NVIDIA
Speakers
Hannah H.. England, JD
Partner
Ropes & Gray
John Finn, PhD
Chief Scientific Officer
Basecamp Research
Patrick Schwab, PhD
Senior Director of Machine Learning and AI
GSK
Ashley Zehnder, DVM, PhD
Co-Founder and CEO
Fauna Bio

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