
Arash Nargesi
@arashnargesi
Fellow in Cardiovascular Medicine @BrighamWomens & Clinical Informatics @MassGenBrigham Working on Applications of Data Science in Health Care
ID: 838817135426166784
06-03-2017 18:22:44
194 Tweet
782 Followers
577 Following


Congratulations to Evangelos K. Oikonomou - winner of the Elizabeth Barrett-Connor Award 2023 at #AHA23 for his work on adaptive predictive enrichment of randomized clinical trials with machine learning! Such an honor that CarDS Lab members got this 2 years in a row! Yale Cardiology



Congrats, Evangelos K. Oikonomou for ASCI Emerging-Generation Award! A well-deserved recognition of your amazing hard work and creativity! CarDS Lab Yale Cardiology Harlan Krumholz Eric J Velazquez


Pre #ACC24 rounds? Atlanta here we come! Boston Logan International Airport Brigham & Women's CV Fellows #TheFutureIsBright Brigham and Women’s Postdoctoral Association



What.A.Team. The SuperSpecial Fellows at Brigham & Women's CV Fellows who keep it all running, day in, day out. Thank you for going above & beyond for our patients ❤️🙏 Avinainder Singh, MD, MMSc Arash Nargesi Maxwell Coll, MD Tracy TM, MD, MPH Carole Kounga Amanda Garfinkel, MD Rahul Aggarwal Gary Peng


Deeply honored to join European Heart Journal #EHJ European Society of Cardiology Journals as an associate editor under EHJ Editor-in-Chief Prof. Crea. And excited to partner with Profs Vardas and Folkert Asselbergs as part of the #AI #digitalhealth #innovation team to promote impactful science in AI & cardiology.



Out in JACC Journals #JACCHF, led by Arash Nargesi & Philip Adejumo CarDS Lab is our deep learning NLP-enabled subtyping for heart failure from clinical notes - validated across systems using a federated model. Such tools have role in automating quality measurement, trial


So proud of this work we have been finally able to get out in JACC Journals. Our goal is to develop automated, scalable methods of evaluating and improving care quality for cardiovascular patients....and this is only step one. Throughout my PhD, I have been blessed to be able to


New in #JACCHF: A new automated #deeplearning language model developed by CarDS Lab was able to accurately diagnose #HFrEF using #EMR documentation jacc.org/doi/10.1016/j.… Rohan Khera Harlan Krumholz




