Jingwen Chen

TransferLearning Empowers the Development of Better-PerformingModels for In Vivo Cardiotoxicity by Learning from In Vitro hERG Binding Data

Abstract Evaluating chemical hazards, such as cardiotoxicity, is critical for sound chemical management but is challenging due to the labor-intensive and time-consuming nature of in vivo testing. In silico models can efficiently and cost-effectively screen potential cardiotoxic c...