A deep learning platform to assess drug proarrhythmia risk

Newswise — Serrano et al. used human iPSC-derived cardiomyocytes and deep learning data analysis to establish an in vitro safety margin that predicts clinical proarrhythmic effects of drugs. Their platform shows high accuracy in identifying risky drugs as well as genotypes associated with increased risk of arrhythmia in people.