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 engineering problems by thousands of times, enabling personal computers to Read more…

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…

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…

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. This prestigious accolade honors Prof. Trayanova’s groundbreaking contributions to cardiovascular 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 twin” (Geno-DT). This cutting-edge approach involves integrating personal genetics into 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 prediction in Arrhythmogenic Right Ventricular Cardiomyopathy. Principal investigator Dr. Natalia Read more…