JHU ADVANCE
@jhu_advance
Alliance for Cardiovascular Diagnostic & Treatment Innovation (ADVANCE) applies computer models & cardiac imaging to diagnose & treat cardiovascular disease.
ID: 1062441055768006657
https://heartadvance.jhu.edu/ 13-11-2018 20:24:21
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Very proud of this collaboration on #HFpEF. Trayanova Lab JHU ADVANCE Eugenio Cingolani, MD
Congratulations on the new paper! Glad we could be part of it! Trayanova Lab JHU ADVANCE
Really nice work from Joe Yu and the Trayanova Lab NataliaTrayanova on a computational study of the mechanisms of arrhythmias following stem cell engraftment. Enjoyed being part of the project. OhioStateDHLRI
🚨New publication alert🚨 #Collaboration The Weinberg Lab Trayanova Lab OhioStateBME Johns Hopkins BME The Ohio State University Wexner Medical Center
Delighted to see the last paper of my student Joe Yu’s PHD research published! Thanks to the The Weinberg Lab for the collaboration! And awesome work by Annie Liang! Trayanova Lab JHU ADVANCE #CardioTwitter #EPpeeps
Our first hybrid model, combining LGE-CMR and T1 mapping. Risk prediction of ventricular arrhythmia is much superior to current clinical assessment. Importantly it assesses the role of diffuse fibrosis in arrhythmogenesis Trayanova Lab JHU ADVANCE Johns Hopkins BME Jonathan Chrispin #EPpeeps
The paper demonstrates how important the various aspects of remodeling in the ventricular substrate are Ryan O'Hara Patrick M Boyle Sanjiv Narayan #CardioTwitter
Congratulations to Future Dr. Ryan O'Hara, to my mentor NataliaTrayanova, and to the whole team at JHU ADVANCE on a beautiful paper published today in eLife - the journal! Proud to have contributed to this outstanding work. doi.org/10.7554/eLife.…
We are looking for individuals to work on developing and translating to the clinic personalized machine learning approaches for the prognosis and treatment of heart rhythm disorders! Full job posting in the link: trayanovalab.org/news/we-are-hi… Trayanova Lab #EPpeeps #CardioTwitter
Check out how Trayanova Lab is using 3D heart modeling to predict heart arrhythmias. hub.jhu.edu/2022/01/25/3d-…
Congratulations to NataliaTrayanova and the team on their fascinating #deeplearning approach for predicting time to #SuddenCardiacDeath by #arrhythma rdcu.be/cKTnj in Nature Cardiovascular Research #EPpeeps Julie Shade, PhD Changxin Lai Kathy Wu Konstantinos N. Aronis, MD PhD Johns Hopkins Engineering Johns Hopkins BME
Hot off the press! An essay by our director NataliaTrayanova with Eric Topol in the Lancet thelancet.com/journals/lance…: on the topic of #AI for prediction of #Arrhythmic #SuddenDeath, as published in Nature Cardiovascular Research
Very proud of our faculty! Johns Hopkins Engineering