Ricardo Serrano, Dries A M Feyen, Arne A N Bruyneel, Anna P Hnatiuk, Michelle M Vu, Prashila L Amatya, Isaac Perea-Gil, Maricela Prado, Timon Seeger, Joseph C Wu, Ioannis Karakikes, Mark Mercola
Drug safety initiatives have endorsed human iPSC-derived cardiomyocytes (hiPSC-CMs) as an in vitro model for predicting drug-induced cardiac arrhythmia. However, the extent to which human-defined features of in vitro arrhythmia predict actual clinical risk has been much debated. Here, we trained a convolutional neural network classifier (CNN) to learn features of in vitro action potential recordings of hiPSC-CMs that are associated with lethal Torsade de Pointes arrhythmia. The CNN classifier accurately predicted the risk of drug-induced arrhythmia in people...
December 18, 2022: Cell Stem Cell