Tackling the challenges of new approach methods for predicting drug effects from model systems

Excited to share our latest commentary in Nature Reviews Drug Discovery! We delve into the challenges and advancements in using new approach methods for predicting drug effects from model systems. We focus on human-derived iPSCs and the integration of AI tools, and the field’s aim to enhance the accuracy and reliability of preclinical drug testing.

Tackling the challenges of new approach methods for predicting drug effects from model systems

Paul D.Pang, Syed Mukhtar Ahmed, Masataka Nishiga, Norman L Stockbridge, Joseph C Wu

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