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JHU Selects ADVANCE ECG Deep Learning Project for Discovery Award
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…
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Trayanova Lab Publishes Precision Ablation Study in Nature Cardiovascular Research
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…
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Trayanova Lab’s and JHMI Digital Twin Research Featured in Wall Street Journal
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…
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‘Digital twins’ of patients’ hearts harness personal genetics to inform disease management
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…
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Natalia Trayanova joins $8M international research initiative for advanced heart disease diagnosis and therapeutics
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.
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New study identifies infiltrating adipose tissue as a driving factor in ventricular arrhythmias
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…
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Natalia Trayanova and Eric Topol on the risk of sudden cardiac death & ICD benefit using AI
Access the PDF of their essay here or view directly in The Lancet.
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Updates on our latest paper in Nature Cardiovascular Research
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…
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AI Predicts If and When Someone will Experience Cardiac Arrest
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…