Fragmented to Focused: How AI-driven target assessment is changing preclinical R&D in 2026
Before a target molecule program can advance, teams must answer a fundamental question: is the target itself safe to modulate?
Traditional safety reviews take weeks of manual database work and preclinical literature review. In this seminar, you will learn how to run a rigorous, multi-database target safety profile in minutes using the AI co-scientist EMET.
EMET simultaneously queries 12+ curated databases and synthesizes the evidence into a single, fully cited go/no-go gating recommendation.
Principal investigators, research scientists, and translational leads in cardiovascular, hepatic, renal, neurological, reproductive, and immunological therapeutic areas are encouraged to attend - no computational background is required.
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Try EMET