Variability in cardiac electrophysiology: Using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm.
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Logistic regression analysis of populations of electrophysiological models to assess proarrythmic riskHuman ventricular activation sequence and the simulation of the electrocardiographic QRS complex and its variability in healthy and intraventricular block conditions.Rabbit-specific computational modelling of ventricular cell electrophysiology: Using populations of models to explore variability in the response to ischemia.Virtual cardiac monolayers for electrical wave propagation.Quantitative Comparison of Effects of Dofetilide, Sotalol, Quinidine, and Verapamil between Human Ex vivo Trabeculae and In silico Ventricular Models Incorporating Inter-Individual Action Potential Variability.Human In Silico Drug Trials Demonstrate Higher Accuracy than Animal Models in Predicting Clinical Pro-Arrhythmic CardiotoxicityHumans Vary, So Cardiac Models Should Account for That Too!Atrial Fibrillation Dynamics and Ionic Block Effects in Six Heterogeneous Human 3D Virtual Atria with Distinct Repolarization Dynamics.Spontaneous initiation of premature ventricular complexes and arrhythmias in type 2 long QT syndrome.From ionic to cellular variability in human atrial myocytes: an integrative computational and experimental study.Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology.δ-cells and β-cells are electrically coupled and regulate α-cell activity via somatostatin.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.Differential roles of two delayed rectifier potassium currents in regulation of ventricular action potential duration and arrhythmia susceptibility.How to Connect Cardiac Excitation to the Atomic Interactions of Ion Channels.The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applicationsComputational Modeling of Electrophysiology and Pharmacotherapy of Atrial Fibrillation: Recent Advances and Future ChallengesA Heart for Diversity: Simulating Variability in Cardiac Arrhythmia ResearchThe Ca transient as a feedback sensor controlling cardiomyocyte ionic conductances in mouse populationsSlow Recovery of Excitability Increases Ventricular Fibrillation Risk as Identified by EmulationCa Cycling Impairment in Heart Failure Is Exacerbated by Fibrosis: Insights Gained From Mechanistic Simulations
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P2860
Variability in cardiac electrophysiology: Using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Variability in cardiac electro ...... physiological human paradigm.
@ast
Variability in cardiac electro ...... physiological human paradigm.
@en
type
label
Variability in cardiac electro ...... physiological human paradigm.
@ast
Variability in cardiac electro ...... physiological human paradigm.
@en
prefLabel
Variability in cardiac electro ...... physiological human paradigm.
@ast
Variability in cardiac electro ...... physiological human paradigm.
@en
P2093
P2860
P50
P1476
Variability in cardiac electro ...... physiological human paradigm.
@en
P2093
Anna Muszkiewicz
Annamaria Carusi
T Alexander Quinn
P2860
P304
P356
10.1016/J.PBIOMOLBIO.2015.12.002
P50
P577
2015-12-14T00:00:00Z