From the press release: The U.S. National Science Foundation, in collaboration with the National Institutes of Health (NIH) and the Food and Drug Administration (FDA), has awarded over $6 million in research funding across seven projects to explore the development of digital twins, dynamic virtual representations of physical objects or Read more…
JHU Selects ADVANCE ECG Deep Learning Project for Discovery Award Johns Hopkins University’s Discovery Awards encourage faculty from various disciplines to collaborate in addressing multifaceted challenges and pushing the boundaries of understanding. In 2024, 44 Discovery Awards were given to interdisciplinary faculty teams, chosen from 286 proposals. The ADVANCE proposal, entitled Read more…
Trayanova Lab Publishes Precision Ablation Study in Nature Cardiovascular Research The Trayanova Lab at Johns Hopkins University is excited to announce the publication of our latest research in Nature Cardiovascular Research, “Assessing the arrhythmogenic propensity of fibrotic substrate using digital twins to inform a mechanisms-based atrial fibrillation ablation strategy,” (direct Read more…
Trayanova Lab’s and JHMI Digital Twin Research Featured in Wall Street Journal On March 16th, the Wall Street Journal featured Dr. Trayanova and her lab’s work with JHMI on “digital twins” of people’s hearts– a method of creating a patient-specific model to study electrical problems and potentially guide therapy in a clinical environment. Read more…
A multidisciplinary team of computational and clinical researchers from Johns Hopkins University, led by Yingnan Zhang, a Ph.D. candidate at Trayanova Lab, has made significant strides in cardiac research through the development of an innovative strategy called the “genotype-specific digital twin” (Geno-DT). This cutting-edge approach involves integrating personal genetics into Read more…
Natalia Trayanova, Murray B. Sachs Professor in Johns Hopkins University’s Department of Biomedical Engineering, is part of an international research team selected to receive $8 million from the Leducq Foundation for a project that aims to find new therapies for heart disease by studying the effects of stimulating nerves. Read more here.
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…
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 NBC 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…
