Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?
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Recent developments in using mechanistic cardiac modelling for drug safety evaluationHierarchical Bayesian inference for ion channel screening dose-response dataSemi-automated Modular Program Constructor for physiological modeling: Building cell and organ models.Modeling an Excitable Biosynthetic Tissue with Inherent Variability for Paired Computational-Experimental StudiesComputational cardiology and risk stratification for sudden cardiac death: one of the grand challenges for cardiology in the 21st century.Logistic regression analysis of populations of electrophysiological models to assess proarrythmic riskModelling mitral valvular dynamics-current trend and future directions.Rabbit-specific computational modelling of ventricular cell electrophysiology: Using populations of models to explore variability in the response to ischemia.Humans Vary, So Cardiac Models Should Account for That Too!Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment.Global Optimization of Ventricular Myocyte Model to Multi-Variable Objective Improves Predictions of Drug-Induced Torsades de Pointes.Tailoring Mathematical Models to Stem-Cell Derived Cardiomyocyte Lines Can Improve Predictions of Drug-Induced Changes to Their Electrophysiology.Gonadotropin-Releasing Hormone (GnRH) Neuron Excitability Is Regulated by Estradiol Feedback and Kisspeptin.Comparing two sequential Monte Carlo samplers for exact and approximate Bayesian inference on biological models.Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia.Modelling variability in cardiac electrophysiology: a moment-matching approach.Validation and Trustworthiness of Multiscale Models of Cardiac Electrophysiology.Sinusoidal voltage protocols for rapid characterisation of ion channel kinetics.The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applicationsUse of Bayesian Inference for Parameter Recovery in DC and AC VoltammetryComputational Modeling of Electrophysiology and Pharmacotherapy of Atrial Fibrillation: Recent Advances and Future ChallengesA Heart for Diversity: Simulating Variability in Cardiac Arrhythmia ResearchSlow Recovery of Excitability Increases Ventricular Fibrillation Risk as Identified by EmulationCellular function given parametric variation in the Hodgkin and Huxley model of excitability
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P2860
Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?
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name
Uncertainty and variability in ...... n we build trustworthy models?
@en
Uncertainty and variability in ...... n we build trustworthy models?
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type
label
Uncertainty and variability in ...... n we build trustworthy models?
@en
Uncertainty and variability in ...... n we build trustworthy models?
@nl
prefLabel
Uncertainty and variability in ...... n we build trustworthy models?
@en
Uncertainty and variability in ...... n we build trustworthy models?
@nl
P2093
P2860
P50
P1476
Uncertainty and variability in ...... n we build trustworthy models?
@en
P2093
Pras Pathmanathan
Ross H Johnstone
Rémi Bardenet
P2860
P356
10.1016/J.YJMCC.2015.11.018
P577
2015-12-02T00:00:00Z