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DEL technology is evolving from a screening tool into a rich data engine for AI. Learn how expanding datasets and computational methods are reshaping what researchers can uncover.

Discover how AI-powered modeling uncovers hidden patterns in DEL data, broadens chemical diversity, and accelerates decision-making to help teams prioritize compounds and move more efficiently.

Zaher compares EU and U.S. progress, noting legislative and policy shifts driving NAMS integration. Samantha calls for open data platforms and consortiums to build confidence, while Zaher stresses benchmarking against human clinical data and government-led initiatives akin to the Human Genome Project.

Zaher frames the urgency of NAMS adoption by highlighting the staggering 92% drug failure rate in clinical trials despite animal testing. He explains how interdisciplinary convergence and AI are accelerating the shift toward human-relevant models, positioning NAMS as a solution to systemic inefficiencies in drug development.

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