KCNH2 and torsades de pointes: Machine learning (ML) algorithms are increasingly used in early drug development to predict compound toxicity by analyzing chemical structures and biological response data, thereby improving safety profiles and reducing late-stage failures [5,6] Among cardiotoxicity mechanisms, human Ether-à-go-go-Related Gene (hERG) potassium channel inhibition has been a major focus due to its association with QT prolongation and Torsades de Pointes (TdP) [7].