Deep Learning Predicts Patterns of Cardiotoxicity in a High-Content Screen Using Induced Pluripotent Stem Cell-Derived Cardiomyocytes
F. Grafton, J. Ho, S. Ranjbarvaziri, F. Farshidfar, A. Budan, S. Steltzer, M. Maddah, K. E. Loewke, K. Green, S. Patel, T. Hoey, M. A. Mandegar
This paper uses deep learning and high-content screening of iPSC-derived cardiomyocytes to predict cardiotoxicity patterns in 1280 compounds and identify cardiotoxic chemical frameworks.
bioRxiv · Mar 23, 2021Cell Biology