‘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…

Artistic image of neurons

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.

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…