Machine Learning of Drug Influence Based on iPSC Cardiomyocyte Calcium Transient Signals

Abstract

Machine learning was applied to classify potential influence of two drugs on induced pluripotent stem cell-derived cardiomyocytes (iPSC-CM) on the basis of peak data detected from calcium transient signals of iPsC-CMs. The study shows that machine learning is capable to analyze such influence.