DataFAIR Boston 2026

The noise around AI in drug discovery is deafening. Yet, for all the promise of foundation models, we face a critical barrier: Out-of-Distribution (OOD) problems. Models that excel in preclinical testing often hallucinate or fail when facing new, unseen biological contexts. Data inaccuracy is not the real cost - the real cost comes in failed Phase I and II trial readouts.

DataFAIR 2026 prioritizes clarity over hype. We are gathering a diverse group of leaders across R&D, translational science, and computational biology to talk about OOD challenges through a data-centric AI approach.

This is a forum for people on the ground to discuss real problem statements and actual solutions. Join us to talk about data-centric approaches that actually translate to patient impact: https://www.elucidata.io/datafair-2026-boston

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