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Natural strategies for the spatial optimization of metabolism in synthetic biology

Nature chemical biology, 2012-05, Vol.8 (6), p.527

2012

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Feasibility of Using Patient-Specific Models and the “Minimum Cut” Algorithm to Predict Optimal Ablation Targets for Left Atrial Flutter

Heart rhythm, 2016-08, Vol.13 (8), p.1687-1698

2016

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Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: a longitudinal study using magnetic resonance imaging-based atrial models

Cardiovascular research, 2019-10, Vol.115 (12), p.1757-1765

2019

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Computationally guided personalized targeted ablation of persistent atrial fibrillation

Nature biomedical engineering, 2019-11, Vol.3 (11), p.870

2019

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Elevated fibrosis burden as assessed by MRI predicts cryoballoon ablation failure

Journal of cardiovascular electrophysiology, 2023-02, Vol.34 (2), p.302-312

2023

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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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Personalized computational heart models with T1-mapped fibrotic remodeling predict sudden death risk in patients with hypertrophic cardiomyopathy

eLife, 2022-01, Vol.11

2022

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Explainable Machine Learning to Predict Anchored Reentry Substrate Created by Persistent Atrial Fibrillation Ablation in Computational Models

Journal of the American Heart Association, 2023-08, Vol.12 (16), p.e030500-e030500

2023

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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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Synthetic memory circuits for tracking human cell fate

Genes & development, 2012-07, Vol.26 (13), p.1486-1497

2012

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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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Arrhythmia dynamics in computational models of the atria following virtual ablation of re-entrant drivers

Europace (London, England), 2018-11, Vol.20 (suppl_3), p.iii45-iii54

2018

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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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Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate

eLife, 2021-05, Vol.10

2021

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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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Fusion during entrainment of orthodromic reciprocating tachycardia is enhanced for basal pacing sites but diminished when pacing near Purkinje system end points

Heart rhythm, 2013-03, Vol.10 (3), p.444-451

2013

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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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Harnessing nature's toolbox: regulatory elements for synthetic biology

Journal of the Royal Society interface, 2009-08, Vol.6 Suppl 4, p.S535

2009

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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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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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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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Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern

Cardiovascular research, 2016-06, Vol.110 (3), p.443-454

2016

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Machine Learning and the Conundrum of Stroke Risk Prediction

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

2023

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Natural strategies for the spatial optimization of metabolism in synthetic biology

Feasibility of Using Patient-Specific Models and the “Minimum Cut” Algorithm to Predict Optimal Ablation Targets for Left Atrial Flutter

Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: a longitudinal study using magnetic resonance imaging-based atrial models

Computationally guided personalized targeted ablation of persistent atrial fibrillation

Elevated fibrosis burden as assessed by MRI predicts cryoballoon ablation failure

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

Personalized computational heart models with T1-mapped fibrotic remodeling predict sudden death risk in patients with hypertrophic cardiomyopathy

Explainable Machine Learning to Predict Anchored Reentry Substrate Created by Persistent Atrial Fibrillation Ablation in Computational Models

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

Synthetic memory circuits for tracking human cell fate

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

Arrhythmia dynamics in computational models of the atria following virtual ablation of re-entrant drivers

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

Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate

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

Fusion during entrainment of orthodromic reciprocating tachycardia is enhanced for basal pacing sites but diminished when pacing near Purkinje system end points

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

Harnessing nature's toolbox: regulatory elements for synthetic biology

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

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

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

Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern

Machine Learning and the Conundrum of Stroke Risk Prediction

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