New algorithm could warn doctors in advance of cardiac arrest or blood clots in hospitalized COVID-19 patients.
https://hub.jhu.edu/2021/01/13/machine-learning-predicts-covid-related-cardiac-arrest/
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 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 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 Read more…