Project Description

Assistant Professor
Phone: (206) 685-1392
Office: Foege N310H (main campus); Brotman 311 (SLU)

Outline of computational and mathematical framework for multi-scale simulations of cardiac electrophysiology

My lab uses computational cardiology to better understand the underlying mechanisms of cardiac arrhythmias and to explore new frontiers for clinical treatment of these potentially lethal disorders. These applications are interwoven with my over-arching mission to drive technological innovation relevant to biomedical applications of precision computational modeling.

Predicting and preventing sudden cardiac death
Discovering mechanistic underpinnings of atrial flutter and fibrillation
Harnessing emerging technologies, including optogenetics, to develop new anti-arrhythmia techniques
Understanding and minimizing graft-associated arrhythmias following transplantation of stem cell-derived cardiomyocytes
Developing new tools and techniques for computational cardiology

We develop and deploy Computational Cardiology tools to explore sudden arrhythmic death, atrial flutter/fibrillation, cardiac regenerative medicine, optogenetics, and mechanisms of conduction failure. These problems are part of an enormous global health concern, especially since heart rhythm disorders are becoming more prevalent as the number of elderly individuals continues to grow. This work is highly interdisciplinary and often involves frequent and intense interaction with collaborators including high performance computing experts, wet lab biologists, optics researchers, medical imaging specialists, and cardiologists conducting procedures to treat arrhythmia in patients. Simulations conducted in our models can help reveal complex disease mechanisms and help develop transformative new therapeutic approaches for cardiac electrophysiology procedures. Ultimately our goal is to pave the way towards computationally-augmented clinical strategies that are precisely custom-tailored to each patient’s unique profile, including features like anatomical structure, disease-related remodeling, and genetic variability.

Ph.D., Biomedical Engineering, University of Calgary, 2011

B.Sc. with Distinction, Internship program, Computer Engineering, University of Calgary, 2005 

Assistant Research Professor, Department of Biomedical Engineering and Institute for Computational Medicine, Johns Hopkins University, 2015-18

Assistant Research Scientist, Institute for Computational Medicine, Johns Hopkins University, 2014-15

NSERC Postdoctoral Fellow, Computational Cardiology Lab, Institute for Computational Medicine, Johns Hopkins University, 2011-14

American Heart Association Scientist Development Grant, 2016-19

Appointed as a Fellow of the Heart Rhythm Society (FHRS designation), 2017

Special Selection: Heart Rhythm Society EP Concepts Ignited Session, 2017

Licensed as a Canadian Professional Engineer (P.Eng. designation), 2013

Cardiac Physiome Workshop, Outstanding Scientific Poster Presentation, 2012

Computing in Cardiology Conference, Rosanna Degani Young Investigator Award (Finalist), 2012

NSERC Post-Doctoral Fellowship, 2011-13

AStech Foundation Leaders of Tomorrow (Honouree), 2011

NSERC Post-Graduate Scholarship D, 2008-10

NSERC Post-Graduate Scholarship M, 2005-07

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* Equal co-author contributions

Boyle PM, Karathanos TV, Trayanova NA. Cardiac Optogenetics: 2018 (Invited State-of-the-art Review). JACC Clin Electrophysiol. 2018 Feb;4(2):155-167. PMID: 29749932

Boyle PM, et al. Comparing Reentrant Drivers Predicted by Image-Based Computational Modeling and Mapped by Electrocardiographic Imaging in Persistent Atrial Fibrillation. Front Physiol. 2018 Apr 19;9:414. PMID: 29725307

Boyle PM, et al. Termination of re-entrant atrial tachycardia via optogenetic stimulation with optimized spatial targeting: insights from computational models. J Physiol. 2018 Jan 15;596(2):181-196. PMID: 29193078

Deng D*, Murphy MJ*, […], and Boyle PM. Sensitivity of reentrant driver localization to electrophysiological parameter variability in image-based computational models of persistent atrial fibrillation sustained by a fibrotic substrate. Chaos. 2017 Sep;27(9):093932. PMID: 28964164

Bruegmann T*, Boyle PM*, et al. Optogenetic defibrillation terminates ventricular arrhythmia in mouse hearts and human simulations. J Clin Invest. 2016 Oct 3;126(10):3894-3904. PMID: 27617859

Zahid S*, Cochet H*, Boyle PM*, et al. Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern. Cardiovasc Res. 2016 Jun 1;110(3):443-54. PMID: 27056895

Boyle PM*, Park CJ*, et al. Sodium current reduction unmasks a structure-dependent substrate for arrhythmogenesis in the normal ventricles. PLoS One. 2014 Jan 28;9(1):e86947. PMID: 24489810

Boyle PM et al. A comprehensive multiscale framework for simulating optogenetics in the heart. Nat Commun. 2013;4:2370. PMID: 23982300

Boyle PM et al. Transmural IK(ATP) heterogeneity as a determinant of activation rate gradient during early ventricular fibrillation: mechanistic insights from rabbit ventricular models. Heart Rhythm. 2013 Nov;10(11):1710-7. PMID: 23948344

Boyle PM et al. 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 Mar;10(3):444-51. PMID: 23207137

Boyle PM and Vigmond EJ. An intuitive safety factor for cardiac propagation. Biophys J. 2010 Jun 16;98(12):L57-9. PMID: 20550885

Boyle PM et al. Purkinje-mediated effects in the response of quiescent ventricles to defibrillation shocks. Ann Biomed Eng. 2010 Feb;38(2):456-68. PMID: 19876737

In the News

Cardiac systems simulation expert Patrick Boyle joins UW Bioengineering

December 5th, 2018|Comments Off on Cardiac systems simulation expert Patrick Boyle joins UW Bioengineering