News
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 Read more…
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 Read more…
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 Read more…
‘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 Read more…
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 Read more…
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 Read more…
ADVANCE researchers receive three Johns Hopkins Discovery Awards for innovative research
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 Read more…
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.
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 Read more…
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 Read more…
New heart modeling method may help doctors pump the brakes on sudden cardiac death
A team led by Johns Hopkins engineers has found that modeling the heart in 3D using combined imaging techniques can help predict heart rhythm abnormalities, called arrhythmias, in patients with a genetic heart disease. This approach could one day help Read more…
Machine learning tool gives early warning of cardiac issues in COVID-19 patients
New algorithm could warn doctors in advance of cardiac arrest or blood clots in hospitalized COVID-19 patients.
MD-PhD Candidate Eric Sung Wins the 2020 Asia-Pacific HRS Young Investigator Award
Eric recently competed in and won the Young Investigator Award Competition at the 2020 Asia-Pacific Heart Rhythm Society Virtual Congress!
AF Symposium 2020: Cryoablation pulmonary vein isolation is safe and effective for persistent atrial fibrillation at one year
Hugh Calkins (Johns Hopkins Medical Institutions, Baltimore, USA) told delegates attending the AF Symposium 2020 (23–25 January, Washington, DC, USA) that cryoablation with the Arctic Front catheter (Medtronic) was a safe and effective approach for managing persistent atrial fibrillation (AF). He added that the procedure also improves quality of life and reduces symptoms.
Using AI to Dramatically Speed Up Cardiac Simulations – Published in Nature Computational Science
Several members of ADVANCE at Johns Hopkins, as well as collaborators at other institutions, have published DIMON (Diffeomorphic Mapping Operator Learning), an AI framework, in Nature Computational Science. This model accelerates the approximation of partial differential equations (PDEs) in complex Read more…
ADVANCE Professors Win $1M NSF FDT-BioTech Grant
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 Read more…
Alliance for Cardiovascular Diagnostic and Treatment Innovation (ADVANCE) Celebrates Professor Natalia Trayanova’s Achievement of the Hodgkin-Huxley-Katz Prize Lecture for 2025
Baltimore, MD, Feb 12, 2024 – The Alliance for Cardiovascular Diagnostic and Treatment Innovation (ADVANCE) at Johns Hopkins University proudly announces that co-director Professor Natalia Trayanova has been awarded the esteemed Hodgkin-Huxley-Katz Prize Lecture for 2025 by The Physiological Society. Read more…