Sponsor-Led Roundtable: Augmented intelligence in drug target identification: separating facts from fables and fiction
06 May 2026
Target Identification
- How can augmented intelligence improve confidence in target identification when biological evidence is incomplete or conflicting
- What signals or criteria are most effective for separating true disease drivers from noise in multi-source target discovery data
- How should AI outputs be weighed against genetic, functional, and translational evidence during target prioritization
- Where do current augmented intelligence approaches most often overstate target relevance, and why
- How can target identification teams design validation strategies that balance speed with biological rigor