A team of computational and clinical researchers, led by first author Eric Sung, PhD, discover in their latest research that fat intermingling with scar tissue is the driving force behind the development of heart rhythm disturbances. This prospective study was completed by two clinical centers, one at Johns Hopkins University 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 computational approaches for arrhythmia risk prediction in Arrhythmogenic Right Ventricular Cardiomyopathy. Principal investigator Dr. Natalia Read more…
Access the PDF of their essay here or view directly in The Lancet.
We have received a lot of publicity following Dr. Dan Popescu’s publication in Nature Cardiovascular Research. The cover of the journal’s April issue was designed by Dr. Kimberly Popescu (Dan’s wife!), featuring a schematic of a neural network embedded in cardiac tissue. Dr. Natalia Trayanova was recently interviewed by NBCÂ Washington, Read more…
A new artificial intelligence-based approach can predict if and when a patient could die of cardiac arrest. The technology, built on raw images of patient’s diseased hearts and patient backgrounds, significantly improves on doctor’s predictions and stands to revolutionize clinical decision making and increase survival from sudden and lethal cardiac Read more…
New algorithm could warn doctors in advance of cardiac arrest or blood clots in hospitalized COVID-19 patients.
Eric recently competed in and won the Young Investigator Award Competition at the 2020 Asia-Pacific Heart Rhythm Society Virtual Congress!