Natalia Trayanova, Murray B. Sachs professor of biomedical engineering, has been awarded a 2018 Seed Funding Award by the Institute for Data Intensive Engineering and Science (IDIES) for her research titled, “Data-driven prediction of risk of sudden cardiac death.”

The proposed research, a collaboration with Katherine C. Wu, associate professor of cardiology at the School of Medicine and Dan M. Popescu, PhD student in the department of applied mathematics and statistics in the Whiting School of Engineering, will develop and utilize in clinical practice groundbreaking targeted strategies for predicting risk of sudden cardiac death (SCD) from arrhythmias. The team will utilize a novel disease-specific personalized virtual-heart approach combined with machine learning on clinical data to predict the functional electrical behavior of the patient’s heart under a variety of stressor conditions and unmask potential dysfunctions.

The IDIES Seed Funding Program provides funding to data-intensive computing projects that are relevant to IDIES and JHU institutional research priorities, are multidisciplinary, and build ideas and teams with good prospects for successful proposals to attract external research support by leveraging IDIES intellectual and physical infrastructure.