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Machine learning approach to evaluate TdP risk of drugs using cardiac electrophysiological model including inter-individual variability
Introduction: Predicting ventricular arrhythmia Torsade de Pointes (TdP) caused by drug-induced cardiotoxicity is essential in drug development. Several studies used single biomarkers such as qNet and Repolarization Abnormality (RA) in a single cardiac cell model to evaluate TdP risk. However, a sin...
Autores principales: | Fuadah, Yunendah Nur, Qauli, Ali Ikhsanul, Marcellinus, Aroli, Pramudito, Muhammad Adnan, Lim, Ki Moo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584148/ https://www.ncbi.nlm.nih.gov/pubmed/37860622 http://dx.doi.org/10.3389/fphys.2023.1266084 |
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