Guijia Bi

Transfer Learning Empowers the Development of Better-Performing Models for In Vivo Cardiotoxicity by Learning from In Vitro hERG Binding Data

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 compounds from a large number of chemicals. Howe...