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Optogenetic Stimulation Using Anion Channelrhodopsin (GtACR1) Facilitates Termination of Reentrant Arrhythmias With Low Light Energy Requirements: A Computational Study

Frontiers in physiology, 2021-08, Vol.12, p.718622-718622

2021

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OptoGap is an optogenetics-enabled assay for quantification of cell–cell coupling in multicellular cardiac tissue

Scientific reports, 2021-04, Vol.11 (1), p.9310-9310, Article 9310

2021

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Characterization of the Electrophysiologic Remodeling of Patients With Ischemic Cardiomyopathy by Clinical Measurements and Computer Simulations Coupled With Machine Learning

Frontiers in physiology, 2021-07, Vol.12, p.684149-684149

2021

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MRI-quantified left atrial epicardial adipose tissue predicts atrial fibrillation recurrence following catheter ablation

Frontiers in cardiovascular medicine, 2022-12, Vol.9, p.1045742-1045742

2022

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Dantrolene Improves Survival After Ventricular Fibrillation by Mitigating Impaired Calcium Handling in Animal Models

Circulation (New York, N.Y.), 2014-02, Vol.129 (8), p.875-885

2014

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Comparing Reentrant Drivers Predicted by Image-Based Computational Modeling and Mapped by Electrocardiographic Imaging in Persistent Atrial Fibrillation

Frontiers in physiology, 2018-04, Vol.9, p.414-414

2018

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Fibrosis, atrial fibrillation and stroke: clinical updates and emerging mechanistic models

Heart (British Cardiac Society), 2021-01, Vol.107 (2), p.99-105

2021

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The Fibrotic Substrate in Persistent Atrial Fibrillation Patients: Comparison Between Predictions From Computational Modeling and Measurements From Focal Impulse and Rotor Mapping

Frontiers in physiology, 2018-08, Vol.9, p.1151-1151

2018

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Machine Learning and the Conundrum of Stroke Risk Prediction

Arrhythmia & electrophysiology review, 2023-01, Vol.12, p.e07

2023

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Exploring susceptibility to atrial and ventricular arrhythmias resulting from remodeling of the passive electrical properties in the heart: a simulation approach

Frontiers in physiology, 2014-11, Vol.5, p.435-435

2014

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Sodium current reduction unmasks a structure-dependent substrate for arrhythmogenesis in the normal ventricles

PloS one, 2014-01, Vol.9 (1), p.e86947-e86947

2014

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The Purkinje-myocardial junction is the anatomic origin of ventricular arrhythmia in CPVT

JCI insight, 2022-02, Vol.7 (3)

2022

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Transmural IK(ATP) heterogeneity as a determinant of activation rate gradient during early ventricular fibrillation: Mechanistic insights from rabbit ventricular models

Heart rhythm, 2013-11, Vol.10 (11), p.1710-1717

2013

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Epicardial adipose tissue is associated with left atrial volume and fibrosis in patients with atrial fibrillation

Frontiers in cardiovascular medicine, 2022-11, Vol.9, p.1045730-1045730

2022

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Insulation of a synthetic hydrogen metabolism circuit in bacteria

Journal of biological engineering, 2010-02, Vol.4 (1), p.3-3, Article 3

2010

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Building a machine learning-assisted echocardiography prediction tool for children at risk for cancer therapy-related cardiomyopathy

Cardio-oncology (London, England), 2024-10, Vol.10 (1), p.66-11, Article 66

2024

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Translational applications of computational modelling for patients with cardiac arrhythmias

Heart (British Cardiac Society), 2021-03, Vol.107 (6), p.456-461

2021

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Calcium Dynamics and Cardiac Arrhythmia

Clinical Medicine Insights. Cardiology, 2017, Vol.2017, p.1-4-015

2017

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Navigating the Stormy Sea of Anisotropy: How Electroanatomic Properties Influence Complex Propagation in Atrial Fibrillation

JACC. Clinical electrophysiology, 2024-07, Vol.10 (7), p.1605-1607

2024

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Type XVIII collagen is essential for survival during acute liver injury in mice

Disease models & mechanisms, 2013-07, Vol.6 (4), p.942-951

2013

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Parts plus pipes: Synthetic biology approaches to metabolic engineering

Metabolic engineering, 2012-05, Vol.14 (3), p.223-232

2012

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Computational Medicine: What Electrophysiologists Should Know to Stay Ahead of the Curve

Current cardiology reports, 2024-09

2024

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Machine learning identifies esophageal luminal temperature patterns associated with thermal injury in catheter ablation for atrial fibrillation

Journal of cardiovascular electrophysiology, 2024-04, Vol.35 (4), p.737-746

2024

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Light-based Approaches to Cardiac Arrhythmia Research: From Basic Science to Translational Applications

Clinical Medicine Insights. Cardiology, 2016-01, Vol.2016 (S1), p.47-60

2016

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A comprehensive, multiscale framework for evaluation of arrhythmias arising from cell therapy in the whole post-myocardial infarcted heart

Scientific reports, 2019-06, Vol.9 (1), p.9238-16, Article 9238

2019

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Optogenetic Stimulation Using Anion Channelrhodopsin (GtACR1) Facilitates Termination of Reentrant Arrhythmias With Low Light Energy Requirements: A Computational Study

OptoGap is an optogenetics-enabled assay for quantification of cell–cell coupling in multicellular cardiac tissue

Characterization of the Electrophysiologic Remodeling of Patients With Ischemic Cardiomyopathy by Clinical Measurements and Computer Simulations Coupled With Machine Learning

MRI-quantified left atrial epicardial adipose tissue predicts atrial fibrillation recurrence following catheter ablation

Dantrolene Improves Survival After Ventricular Fibrillation by Mitigating Impaired Calcium Handling in Animal Models

Comparing Reentrant Drivers Predicted by Image-Based Computational Modeling and Mapped by Electrocardiographic Imaging in Persistent Atrial Fibrillation

Fibrosis, atrial fibrillation and stroke: clinical updates and emerging mechanistic models

The Fibrotic Substrate in Persistent Atrial Fibrillation Patients: Comparison Between Predictions From Computational Modeling and Measurements From Focal Impulse and Rotor Mapping

Machine Learning and the Conundrum of Stroke Risk Prediction

Exploring susceptibility to atrial and ventricular arrhythmias resulting from remodeling of the passive electrical properties in the heart: a simulation approach

Sodium current reduction unmasks a structure-dependent substrate for arrhythmogenesis in the normal ventricles

The Purkinje-myocardial junction is the anatomic origin of ventricular arrhythmia in CPVT

Transmural IK(ATP) heterogeneity as a determinant of activation rate gradient during early ventricular fibrillation: Mechanistic insights from rabbit ventricular models

Epicardial adipose tissue is associated with left atrial volume and fibrosis in patients with atrial fibrillation

Insulation of a synthetic hydrogen metabolism circuit in bacteria

Building a machine learning-assisted echocardiography prediction tool for children at risk for cancer therapy-related cardiomyopathy

Translational applications of computational modelling for patients with cardiac arrhythmias

Calcium Dynamics and Cardiac Arrhythmia

Navigating the Stormy Sea of Anisotropy: How Electroanatomic Properties Influence Complex Propagation in Atrial Fibrillation

Type XVIII collagen is essential for survival during acute liver injury in mice

Parts plus pipes: Synthetic biology approaches to metabolic engineering

Computational Medicine: What Electrophysiologists Should Know to Stay Ahead of the Curve

Machine learning identifies esophageal luminal temperature patterns associated with thermal injury in catheter ablation for atrial fibrillation

Light-based Approaches to Cardiac Arrhythmia Research: From Basic Science to Translational Applications

A comprehensive, multiscale framework for evaluation of arrhythmias arising from cell therapy in the whole post-myocardial infarcted heart

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