Learning together in AI-assisted drug discovery
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🤝 Learning together in AI-assisted drug discovery
How can drug discovery teams learn from shared data while agreeing on how the results should be used? Vishnu Sresht brought that question into ARDD 2026’s New Technology Partnering & Licensing panel, discussing collaborative learning partnerships and pre-competitive data consortia.
💡 He also highlighted unsettled intellectual-property ownership around AI-assisted work as a source of friction. His official conference biography describes the technical setting for these questions: a Genentech small-molecule platform that combines generative models, cheminformatics and physics-based scoring to support target qualification and molecular discovery.
The discussion connected those research tools with the arrangements needed to collaborate effectively. Shared learning, clear data governance and agreement on ownership all featured in a panel concerned with turning promising science into practical partnerships.
#ARDD2026 #DrugDiscovery
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🤝 Vishnu Sresht discussed collaborative learning and pre-competitive data consortia at #ARDD2026, alongside the unresolved ownership questions that can complicate AI-assisted drug discovery. Scientific collaboration also needs clarity on how results will be used.
Credit: Michael DeStefano
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