Logistic regression analysis of populations of electrophysiological models to assess proarrythmic risk
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Humans Vary, So Cardiac Models Should Account for That Too!Revealing kinetics and state-dependent binding properties of IKur-targeting drugs that maximize atrial fibrillation selectivity.In Silico Assessment of Efficacy and Safety of IKur Inhibitors in Chronic Atrial Fibrillation: Role of Kinetics and State-Dependence of Drug Binding.Early afterdepolarisation tendency as a simulated pro-arrhythmic risk indicator† †Electronic supplementary information (ESI) available. See DOI: 10.1039/C7TX00141J.Early afterdepolarisation tendency as a simulated pro-arrhythmic risk indicator.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.Editorial: Safety Pharmacology - Risk Assessment QT Interval Prolongation and Beyond.A Heart for Diversity: Simulating Variability in Cardiac Arrhythmia Research
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Logistic regression analysis of populations of electrophysiological models to assess proarrythmic risk
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 23 December 2016
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Logistic regression analysis o ...... ls to assess proarrythmic risk
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Logistic regression analysis o ...... s to assess proarrythmic risk.
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type
label
Logistic regression analysis o ...... ls to assess proarrythmic risk
@en
Logistic regression analysis o ...... s to assess proarrythmic risk.
@nl
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Logistic regression analysis o ...... ls to assess proarrythmic risk
@en
Logistic regression analysis o ...... s to assess proarrythmic risk.
@nl
P2860
P1433
P1476
Logistic regression analysis o ...... ls to assess proarrythmic risk
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P2093
Eleonora Grandi
Stefano Morotti
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P356
10.1016/J.MEX.2016.12.002
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2016-12-23T00:00:00Z