Assessing drug safety by identifying the axis of arrhythmia in cardiomyocyte electrophysiology
Author:
Affiliation:
1. Victor Chang Cardiac Research Institute
2. School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales
3. Victor Chang Cardiac Research Institute Innovation Centre
Abstract
Funder
National Health and Medical Research Council
NSW Health
Medical Advances Without Animals Trust
Publisher
eLife Sciences Publications, Ltd
Subject
General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience
Link
https://cdn.elifesciences.org/articles/90027/elife-90027-v1.pdf
Reference43 articles.
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2. Experimentally calibrated population of models predicts and explains intersubject variability in cardiac cellular electrophysiology;Britton;PNAS,2013
3. The comprehensive in vitro proarrhythmia assay (CiPA) initiative - update on progress;Colatsky;Journal of Pharmacological and Toxicological Methods,2016
4. Optimization of an In silico cardiac cell model for proarrhythmia risk assessment;Dutta;Frontiers in Physiology,2017
5. Population-based mechanistic modeling allows for quantitative predictions of drug responses across cell types;Gong;NPJ Systems Biology and Applications,2018
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