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Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation
The complexity of cardiac electrophysiology, involving dynamic changes in numerous
components across multiple spatial (from ion channel to organ) and temporal (from …
components across multiple spatial (from ion channel to organ) and temporal (from …
[HTML][HTML] Cardiac transmembrane ion channels and action potentials: cellular physiology and arrhythmogenic behavior
Cardiac arrhythmias are among the leading causes of mortality. They often arise from
alterations in the electrophysiological properties of cardiac cells and their underlying ionic …
alterations in the electrophysiological properties of cardiac cells and their underlying ionic …
The 'Digital Twin'to enable the vision of precision cardiology
J Corral-Acero, F Margara, M Marciniak… - European heart …, 2020 - academic.oup.com
Providing therapies tailored to each patient is the vision of precision medicine, enabled by
the increasing ability to capture extensive data about individual patients. In this position …
the increasing ability to capture extensive data about individual patients. In this position …
Computational models of atrial fibrillation: Achievements, challenges, and perspectives for improving clinical care
Despite significant advances in its detection, understanding and management, atrial
fibrillation (AF) remains a highly prevalent cardiac arrhythmia with a major impact on …
fibrillation (AF) remains a highly prevalent cardiac arrhythmia with a major impact on …
[HTML][HTML] Variability in cardiac electrophysiology: using experimentally-calibrated populations of models to move beyond the single virtual physiological human …
Physiological variability manifests itself via differences in physiological function between
individuals of the same species, and has crucial implications in disease progression and …
individuals of the same species, and has crucial implications in disease progression and …
Improved prediction of drug‐induced Torsades de Pointes through simulations of dynamics and machine learning algorithms
MC Lancaster, EA Sobie - Clinical Pharmacology & …, 2016 - Wiley Online Library
The ventricular arrhythmia Torsades de Pointes (TdP) is a common form of drug‐induced
cardiotoxicity, but prediction of this arrhythmia remains an unresolved issue in drug …
cardiotoxicity, but prediction of this arrhythmia remains an unresolved issue in drug …
[HTML][HTML] Mechanisms of pro-arrhythmic abnormalities in ventricular repolarisation and anti-arrhythmic therapies in human hypertrophic cardiomyopathy
Introduction Hypertrophic cardiomyopathy (HCM) is a cause of sudden arrhythmic death, but
the understanding of its pro-arrhythmic mechanisms and an effective pharmacological …
the understanding of its pro-arrhythmic mechanisms and an effective pharmacological …
A heart for diversity: simulating variability in cardiac arrhythmia research
In cardiac electrophysiology, there exist many sources of inter-and intra-personal variability.
These include variability in conditions and environment, and genotypic and molecular …
These include variability in conditions and environment, and genotypic and molecular …
[HTML][HTML] Acute effects of alcohol on cardiac electrophysiology and arrhythmogenesis: Insights from multiscale in silico analyses
Acute excessive ethyl alcohol (ethanol) consumption alters cardiac electrophysiology and
can evoke cardiac arrhythmias, eg, in 'holiday heart syndrome'. Ethanol acutely modulates …
can evoke cardiac arrhythmias, eg, in 'holiday heart syndrome'. Ethanol acutely modulates …
What determines the optimal pharmacological treatment of atrial fibrillation? Insights from in silico trials in 800 virtual atria
A Dasí, MTB Pope, RS Wijesurendra… - The Journal of …, 2023 - Wiley Online Library
The best pharmacological treatment for each atrial fibrillation (AF) patient is unclear. We aim
to exploit AF simulations in 800 virtual atria to identify key patient characteristics that guide …
to exploit AF simulations in 800 virtual atria to identify key patient characteristics that guide …