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HRX Roundtable – HRS Research Network: Opportunities for Innovating How We Collaborate

September 06, 2025 | 08:00 AM (EDT) - 08:45 AM (EDT)

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Speakers
Andrew Braisted
Director, Cardiac & Vascular Research
HCA Healthcare Research Institute
Peng-Sheng Chen
Burns & Allen Chair in Cardiology Research | Staff Cardiologist at the Department of Cardiology
Cedars-Sinai Medical Center | Smidt Heart Institute
Jeanne Poole
Cardiac Electrophysiologist | Director | Professor of Cardiology and Medicine
University of Washington Medical Center and School of Medicine
Prashanthan Sanders
Cardiac Electrophysiologist & Director of Cardiac Electrophysiology
University of Adelaide
Jagmeet Singh
Professor of Medicine | Cardiac Electrophysiologist & Founding Director of the Resynchronization and Advanced Cardiac Therapeutics Program
Harvard Medical School | Massachusetts General Hospital Heart Center
Paul Wang
Director of the Stanford Cardiac Arrhythmia Service & Professor of Medicine and of Bioengineering
Stanford Medicine
J. Peter Weiss
Cardiac Electrophysiologist
Banner University of Arizona Medical Center Phoenix (BUMCP)
Moderators
Kenneth Bilchick
Associate Professor of Medicine | Clinical Cardiologist & Electrophysiologist
University of Virginia
Mina K. Chung
Staff Cardiologist & Professor of Medicine in the Section of Pacing and Electrophysiology
Cleveland Clinic

HRX Roundtable - HRS Research Network: Opportunities for Innovating How We Collaborate

Roundtable 2
September 06, 2025 | 08:00 AM (EDT) - 08:45 AM (EDT)

This session will introduce a new initiative aimed at fostering collaboration among clinical, translational, and basic researchers. As a follow-up to presentations at Heart Rhythm 2025, the roundtable will highlight opportunities for innovation—particularly partnerships with industry—and explore how the Network will support mentorship, multi-center studies, and the development of a robust data warehouse. Discussions will cover data-sharing best practices, priority arrhythmia conditions, and the initiative’s potential to accelerate AI-driven research.