This is an Alliance between researchers and clinicians in the Whiting School of Engineering and the Department of Medicine at Johns Hopkins University. The mission of the Alliance is to apply predictive data-driven approaches, computational modeling, and innovations in cardiac imaging to the diagnosis and treatment of cardiovascular disease.
Associate Research Professor
Johns Hopkins University
Robert E. Meyerhoff Assistant Professor
Johns Hopkins Medicine
Associate Professor of Medicine
Johns Hopkins Medicine
Assistant Research Scientist
Johns Hopkins University
Associate Research Engineer
Johns Hopkins University
Interim Chief of Cardiology
Professor of Medicine
Johns Hopkins Medicine
Associate Professor of Radiology and Radiological Science
Johns Hopkins Medicine
Assistant Professor of Medicine
Johns Hopkins Medicine
Assistant Professor of Medicine
Johns Hopkins Medicine
Co-Director, Johns Hopkins Imaging Institute of Excellence
Professor of Medicine
Johns Hopkins Medicine
Associate Professor of Medicine
Johns Hopkins Medicine
Assistant Professor of Medicine
Johns Hopkins Medicine
Helen Taussig Professor
Director of Taussig Heart Center
Johns Hopkins Medicine
Bloomberg Distinguished Professor of Data Intensive Computation
Johns Hopkins University
Vice Director, Division of Cardiology
Associate Professor of Medicine
Johns Hopkins Medicine
Vice Chair of Basic and Translational Research, Department of Medicine
Professor of Medicine
Johns Hopkins Medicine
Assistant Professor of Medicine
Johns Hopkins Medicine
Co-Director, Arrhythmogenic Right Ventricular Dysplasia Program
Associate Professor of Medicine
Johns Hopkins Medicine
Associate Professor of Medicine
Johns Hopkins Medicine
Director, Cardiac Rhythm Device Services
Professor of Medicine
Johns Hopkins Medicine
A combined clinical and computational study led by researchers at Johns Hopkins and the University of Pennsylvania reveals that fat intermingling with scar tissue is the driving force behind the development of heart rhythm disturbances. Read more…
The three awards will enable ADVANCE researchers to develop deep learning learning methods to understand the recurrence of atrial fibrillation following catheter ablation, artificial intelligence to predict the risk of sudden death in Sarcoidosis, and Read more…
Access the PDF of their essay here or view directly in The Lancet.
