The ideal candidate will operate and improve software that supports precision medicine approaches to treating heart dysfunction in a clinical setting. We are specifically seeking motivated individuals with (1) a high attention to detail, (2) programming skills, and (3) a desire to master the medical imaging, three-dimensional modeling, and software Read more…
Julie Shade, a PhD candidate in the lab of ICM core faculty member Natalia Trayanova, has been awarded a prestigious Siebel Scholarship for 2022. Julie received her B.S. in biomedical engineering from Johns Hopkins University in 2017. Currently, her PhD thesis focuses on machine learning and computational modeling for clinical decision Read more…
Yingnan Zhang, a PhD candidate in the Department of Biomedical Engineering, is the recipient of the 2021-2022 Gakenheimer Fellowship. The award will support Zhang’s research in the lab of Natalia Trayanova, Murray B. Sachs Professor of Biomedical Engineering.
Johns Hopkins method outperforms previous approaches for assessing risk in cardiac sarcoidosis. https://releases.jhu.edu/2021/07/28/new-tool-predicts-sudden-death-in-inflammatory-heart-disease/
New algorithm could warn doctors in advance of cardiac arrest or blood clots in hospitalized COVID-19 patients.
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.
Biomedical engineer recognized for her work developing 3D virtual heart models for patients with irregular heartbeats.
Personalized simulations lead to more accurate, successful treatment for common heart rhythm disorder
In proof-of-concept study of 10 patients with atrial fibrillation, personalized models accurately predict where surgeons should destroy diseased heart tissue.
The professor of biomedical engineering is one of only five women worldwide to be inducted this year.