Use of Deep‐Learning Assisted Assessment of Cardiac Parameters in Zebrafish to Discover Cyanidin Chloride as a Novel Keap1 Inhibitor Against Doxorubicin‐Induced Cardiotoxicity (Adv. Sci. 30/2023)

Deep Learning In article number 2301136, Yi Wang, Lu Zhao, Hongzhi Wu, and co‐workers employ deep‐learning assisted zebrafish phenotype screening to identify cyanidin chloride as a novel Keap1 inhibitor against doxorubicin‐induced cardiotoxicity. The cover image symbolizes the high‐throughput screening process to a claw machine, which is illuminated by neural networks and adeptly captures the positive hit from a compound library. [Image: see text]