Improving cardiomyocyte model fidelity and utility via dynamic electrophysiology protocols and optimization algorithms.
about
Predicting the risk of sudden cardiac death.Rabbit-specific computational modelling of ventricular cell electrophysiology: Using populations of models to explore variability in the response to ischemia.Potassium channels in the heart: structure, function and regulation.George Ralph Mines (1886-1914): the dawn of cardiac nonlinear dynamics.β-adrenergic stimulation augments transmural dispersion of repolarization via modulation of delayed rectifier currents IKs and IKr in the human ventricle.Differential roles of two delayed rectifier potassium currents in regulation of ventricular action potential duration and arrhythmia susceptibility.Population-based mechanistic modeling allows for quantitative predictions of drug responses across cell types.How to Connect Cardiac Excitation to the Atomic Interactions of Ion Channels.A Heart for Diversity: Simulating Variability in Cardiac Arrhythmia ResearchThe Ca transient as a feedback sensor controlling cardiomyocyte ionic conductances in mouse populations
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P2860
Improving cardiomyocyte model fidelity and utility via dynamic electrophysiology protocols and optimization algorithms.
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
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2015年论文
@zh-cn
name
Improving cardiomyocyte model ...... s and optimization algorithms.
@en
type
label
Improving cardiomyocyte model ...... s and optimization algorithms.
@en
prefLabel
Improving cardiomyocyte model ...... s and optimization algorithms.
@en
P2093
P2860
P356
P1476
Improving cardiomyocyte model ...... s and optimization algorithms.
@en
P2093
David J Christini
Eric A Sobie
Trine Krogh-Madsen
P2860
P304
P356
10.1113/JP270618
P407
P577
2015-12-11T00:00:00Z