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Assessing AI ROI in Clinically Anchored Target Identification and Validation
Evaluate where AI has improved target identification and validation by strengthening clinically relevant hypotheses, and where it has failed to translate into better discovery decisions.
Identify the biological, clinical, data and operational factors that determine whether AI helps teams select and validate targets with real therapeutic and competitive potential.
Determine the practical conditions required to turn AI capability into differentiated target-discovery advantage in R&D.
