Chapter 7 참고문헌
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FDA(2017). Impact Story: Finding a Better Test for Predicting the Risk Drugs Pose to the Heart.https://www.fda.gov/drugs/regulatory-science-action/impact-story-finding-better-test-predicting-risk-drugs-pose-heart
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Dutta, S., K. C. Chang, K. A. Beattie, J. Sheng, P. N. Tran, W. Wu, M. Wu, D. G. Strauss, T. Colatsky and Z. Li(2017). “ Optimizaion of an In silico Cardiac Cell Model for Proarrhythmia Risk Assessment” Front Physiol 8:616.
FDA(2019). “ Comprehensive in vitro Proarrhythmia Assay (CiPA) in silico model: R code used to perform uncertainty quantification for the CiPA in silico model”.
Han, S., S. Han, K. S. Kim, H. A. Lee and D. S. Yim (2019). “Usefulness of Bnet, a Simple Linear Metric in Discerning Torsades De Pointes Risks in 28 CiPA Drugs.” Front Pharmacol 10: 1419.
Vicente, J., L. Johannesen, M. Hosseini, J. W. Mason, P. T. Sager, E. Pueyo and D. G. Strauss (2016). “ Electrocardiographic Biomarkers for Detection of Drug-Induced Late Sodium Curent Block”. PLoS oNE 11(12): e0163619.
Darpo, B., C. Benson, R. Brown, C. Dota, G. Feber, J. Ferry, V. Jarugula, J. Keirns, C. Ortemann-Renon, T. Pharm, S. Riley, N. Sarapa, M. Ticktin, W. Zareba and J. P. Couderc (2020). “ Evaluation of the Effect of 5 QT-Positive Drugs on the JTpeak Interval-An Analysis of ECGs from the IQ-CSRC Study.” J Clin Pharmacol 60(1): 125-139.
Vicente, J., L., Johannesen, M. Hosseini, J. W. Mason, P. T. Sager, E. Pueyo and D. G. Strauss (2016). “ Electrocardiographic Biomarkers for Detection of Drug-Induced Late Sodium Current Block.” PLoS One 11(12):e0163619.