Navigating Biological AI
Liran emphasizes the importance of explainability in AI, particularly in the context of drug discovery. By focusing on evidence-based findings rather than subjective interpretations, the technology aims to empower scientists with clear insights. Initial conversations with researchers highlighted the value of addressing small, frustrating problems, which helped build confidence in adopting new solutions.In this clip
From this podcast
The Hard Part with Evan McCann
Liran Belenzon from BenchSci
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