Trayanova Lab
@trayanovalab
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Computational Cardiology lab at Johns Hopkins. We conduct both basic science and translational studies of heart dysfunction and therapies for heart disease.
Baltimore, MD
Joined July 2017
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: https://t.co/TYoxXzR6F6
@trayanovalab #EPpeeps #CardioTwitter
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Check out how @trayanovalab is using 3D heart modeling to predict heart arrhythmias.
hub.jhu.edu
Digital, personalized replicas of patients' hearts can help health care providers to better predict who will need implanted defibrillators over time
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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: https://t.co/TYoxXzR6F6
@trayanovalab #EPpeeps #CardioTwitter
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Congratulations to Future Dr. @rohara94, to my mentor @NTrayanova, and to the whole team at @JHU_ADVANCE on a beautiful paper published today in @eLife! Proud to have contributed to this outstanding work. https://t.co/wjfQ8pZsC1
elifesciences.org
Personalized virtual-heart technology for arrhythmia risk assessment could transform the management of hypertrophic cardiomyopathy patients, eliminating many unnecessary primary-prevention defibril...
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The paper demonstrates how important the various aspects of remodeling in the ventricular substrate are @rohara94 @pmjboyle @S_NarayanMD #CardioTwitter
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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 @trayanovalab @JHU_ADVANCE @JHUBME @JonChrispinMD #EPpeeps
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Really nice work from Joe Yu and the @trayanovalab @NTrayanova on a computational study of the mechanisms of arrhythmias following stem cell engraftment. Enjoyed being part of the project. @OhioStateDHLRI
Work from Yu et al in January issue of JMCC: Computational modeling of aberrant electrical activity following remuscularization with intramyocardially injected pluripotent stem cell-derived cardiomyocytes Read now at: https://t.co/Ccw8Tkb1Oa
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🚨New publication alert🚨 #Collaboration @SHWeinbergLab @trayanovalab @OhioStateBME @JHUBME @OSUWexMed
Work from Yu et al in January issue of JMCC: Computational modeling of aberrant electrical activity following remuscularization with intramyocardially injected pluripotent stem cell-derived cardiomyocytes Read now at: https://t.co/Ccw8Tkb1Oa
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Delighted to see the last paper of my student Joe Yu’s PHD research published! Thanks to the @SHWeinbergLab for the collaboration! And awesome work by @AnnieLiang14! @trayanovalab @JHU_ADVANCE #CardioTwitter #EPpeeps
Work from Yu et al in January issue of JMCC: Computational modeling of aberrant electrical activity following remuscularization with intramyocardially injected pluripotent stem cell-derived cardiomyocytes Read now at: https://t.co/Ccw8Tkb1Oa
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Congratulations on the new paper! Glad we could be part of it! @trayanovalab @JHU_ADVANCE
- Can mechanoelectric feedback influence VT in cardiac simulations? - Can SACs turn a haemodynamically stable VT into an unstable one and vice versa? đź“š Check out our latest preprint: https://t.co/peRyfcs0rp
@iHEART_ERC @AlfioQuarteroni @NTrayanova @LucaDede1 @stetuned
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#OriginalResearch: In a #HFpEF animal model, chronotropic incompetence is associated with intrinsic abnormalities in the sinoatrial node structure and function. Learn more: https://t.co/KypjTy3LYB
@NTrayanova @atvbwlc #AHAJournals
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Hot off the press! A great work by the @EugenioCingolan group! So thrilled for our @trayanovalab (@AnnieLiang14 and Joe Yu) to be able to make a contribution by exploring mechanisms of #SAN dysfunction in #simulations.
Our new work on Mechanisms #SAN dysfunction in #HFpEF @CircAHA online first. https://t.co/a8gkNufr2B
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Thank you @BMEIIsinai for inviting and for the opportunity to present out work! Such a pleasure to meet everybody in person! @trayanovalab @JHU_ADVANCE @JHUBME
Thank you @NTrayanova for this amazing presentation at @BMEIIsinai on combining digital simulation with #AI to diagnose and treat arrhythmias! #futureradres #radiology
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Great work by the @trayanovalab, Dan Popescu, Haley Abramson, to help automate CMR image processing @whyCMR Making CMR more accessible
Segmentation & fibrosis quantification from LGE-CMR is difficult manual task. But hey, check out our new paper! Deep neural network for anatomically-accurate LGE-CMR segmentation #AI #EPpeeps @Changxin_CXLiu @julieshade2 @trayanovalab @KathyWuMD @reb_yu
https://t.co/WxdGScj6rn
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