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 screen...

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Detalles Bibliográficos
Autores principales: Liu, Changtong, Wang, Yingchao, Zeng, Yixin, Kang, Zirong, Zhao, Hong, Qi, Kun, Wu, Hongzhi, Zhao, Lu, Wang, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Frontispiece
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602517/
http://dx.doi.org/10.1002/advs.202370206

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602517/
http://dx.doi.org/10.1002/advs.202370206

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