Syed Yusuf Ali
@syedyusufali20
Computational Cardiology Researcher❤️ @JHUBME PhD student | @trayanovalab | Johns Hopkins || MechE '17 | @amu_page 🇮🇳 ||Photography | Arthouse Cinema
ID: 1348696385495957504
https://www.linkedin.com/in/syedyusufjhu/ 11-01-2021 18:21:07
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Honored to be a Clinical Finalist for the #HRS2025 Young Investigator Award! 🙌 Presenting our work on genotype-specific digital twins for precision ablation in #ARVC 📍 Fri 4/25 | 2:35 PM | Room 5AB – SDCC #EPeeps #Cardiology #DigitalTwins #PrecisionMedicine #YIA NataliaTrayanova
Such an honor to receive the SADS Foundation Clinical YIA award! Immeasurable appreciation to SADS Foundation, my PhD advisor NataliaTrayanova, my colleagues at JHU ADVANCE Trayanova Lab, and all my collaborators at Johns Hopkins Medicine!!!
Thank you for the invitation- excited for this lecture! Johns Hopkins BME Johns Hopkins Engineering Johns Hopkins University Trayanova Lab JHU ADVANCE Johns Hopkins Data Science and AI Institute
Thanks for reporting our story!! 🙏🙏 Excited to share our quest for developing novel AI to expedite PDE solving on various human hearts!! It's such a delight to be a part of the team. NataliaTrayanova @NicolasCharon @MauroMaggioni @Lulu Ryan M. Brody JHU ADVANCE
So thrilled! Our paper is out in Nature Cardiovascular Research! We developed #multimodal #AI to predict #cardiacarrest in hyperthrophic #cardiomyopathy. Significantly outperformed @AHA @ACC and Exec Service Corps (E.S.C.) guidelines! #EPeeps Johns Hopkins Engineering Johns Hopkins BME @HokpinsDSAI Trayanova Lab rdcu.be/euv0q
Analyzing long-underused #heart imaging and a full spectrum of #medical records, a new #AI tool led by NataliaTrayanova from 🇺🇸 Johns Hopkins BME can reveal previously hidden information about a patient’s heart health, including predictions of sudden #cardiacarrest. dlvr.it/TLmwrH
“We have the ability to predict with very high accuracy whether a patient is at very high risk for sudden cardiac death or not,” shared NataliaTrayanova, a senior researcher and Johns Hopkins BME professor focused on using artificial intelligence in cardiology.
Federally funded research led by NataliaTrayanova & other Johns Hopkins University scientists tested how well an AI model could predict the risk for sudden cardiac death in patients with hypertrophic cardiomyopathy. Check out this New York Magazine article that mentions their work. nymag.com/intelligencer/…
.NataliaTrayanova made another guest appearance. Check out her interview with WYPR! wypr.org/show/on-the-re…
A great article in NewYorkMagazine on #SuddenCardiacArrest. #EPeeps. Discusses also our work on using #multimodal #AI for risk stratification. nymag.com/intelligencer/… Trayanova Lab
#EHRAtopicweek on the State of the art of AI in EP Don’t miss the State of the art of AI in EP - A Scientific Statement of the #EHRA_ESC Heart Rhythm Society and European Society of Cardiology Working Group on E-cardiology, published in Europace Editor-in-Chief 🔗bit.ly/46zGzal Emma Svennberg David Duncker
🫀💻 #DigitalTwins accurately predict #VentricularTachycardia circuits & ablation targets noninvasively! Our @CircEP study validates digital twin predictions against invasive mapping - a major step toward personalized, safer VT ablation. #EPeeps Johns Hopkins BME ahajournals.org/doi/10.1161/CI…
I am so honored to receive this award! Thank you The Physiological Society! It is so meaningful to me! And thank you members of my team, past and present, for the journey together! Johns Hopkins BME Johns Hopkins Engineering Trayanova Lab #EPeeps Johns Hopkins University
Unipolar voltage electroanatomical mapping detects structural atrial remodeling identified by LGE-MRI Syed Yusuf Ali @ymohsen_md NataliaTrayanova heartrhythmjournal.com/article/S1547-…