F
Fayzan Chaudhry
Researcher at Icahn School of Medicine at Mount Sinai
Publications - 19
Citations - 1495
Fayzan Chaudhry is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Medicine & Troponin I. The author has an hindex of 7, co-authored 17 publications receiving 780 citations. Previous affiliations of Fayzan Chaudhry include Hasso Plattner Institute & Cornell University.
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Journal ArticleDOI
Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection.
Anuradha Lala,Anuradha Lala,Kipp W. Johnson,James L. Januzzi,Adam Russak,Ishan Paranjpe,Felix Richter,Shan Zhao,Sulaiman Somani,Tielman Van Vleck,Akhil Vaid,Fayzan Chaudhry,Jessica K De Freitas,Zahi A. Fayad,Sean Pinney,Matthew A. Levin,Alexander W. Charney,Emilia Bagiella,Jagat Narula,Benjamin S. Glicksberg,Girish N. Nadkarni,Donna M. Mancini,Valentin Fuster +22 more
TL;DR: Cardiovascular disease (CVD) including coronary artery disease, atrial fibrillation, and heart failure, was more prevalent in patients with higher troponin concentrations, as were hypertension and diabetes.
Journal ArticleDOI
SARS-CoV-2 viral load predicts COVID-19 mortality.
Elisabet Pujadas,Fayzan Chaudhry,Russell B. McBride,Felix Richter,Shan Zhao,Ania Wajnberg,Girish N. Nadkarni,Benjamin S. Glicksberg,Jane Houldsworth,Carlos Cordon-Cardo +9 more
TL;DR: In this paper, SARS-CoV-2 viral load at the time of presentation is an independent predictor of COVID-19 mortality in a large patient cohort (n=1,145).
Journal ArticleDOI
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.
Akhil Vaid,Sulaiman Somani,Adam Russak,Jessica K De Freitas,Fayzan Chaudhry,Ishan Paranjpe,Kipp W. Johnson,Samuel J. Lee,Riccardo Miotto,Felix Richter,Shan Zhao,Noam D. Beckmann,Nidhi Naik,Arash Kia,Prem Timsina,Anuradha Lala,Manish Paranjpe,Eddye Golden,Matteo Danieletto,Manbir Singh,Dara Meyer,Paul F. O'Reilly,Laura M. Huckins,Patricia Kovatch,Joseph Finkelstein,Robert Freeman,Edgar Argulian,Andrew Kasarskis,Bethany Percha,Judith A. Aberg,Emilia Bagiella,Carol R. Horowitz,Barbara Murphy,Eric J. Nestler,Eric E. Schadt,Judy H. Cho,Carlos Cordon-Cardo,Valentin Fuster,Dennis S. Charney,David Reich,Erwin P. Bottinger,Erwin P. Bottinger,Matthew A. Levin,Jagat Narula,Zahi A. Fayad,Allan C. Just,Alexander W. Charney,Girish N. Nadkarni,Benjamin S. Glicksberg +48 more
TL;DR: Externally and prospectively trained and validated machine learning models for mortality and critical events for patients with COVID-19 at different time horizons were developed and established model interpretability to identify and rank variables that drive model predictions.
Posted ContentDOI
Prevalence and Impact of Myocardial Injury in Patients Hospitalized with COVID-19 Infection
Anuradha Lala,Kipp W. Johnson,Adam Russak,Ishan Paranjpe,Shan Zhao,Sulaiman Solani,Akhil Vaid,Fayzan Chaudhry,Jessica K De Freitas,Zahi A. Fayad,Sean Pinney,Matthew A. Levin,Alexander W. Charney,Emilia Bagiella,Jagat Narula,Benjamin S. Glicksberg,Girish N. Nadkarni,James L. Januzzi,Donna M. Mancini,Valentin Fuster +19 more
TL;DR: Myocardial injury, manifesting as troponin elevation appears to be common among patients hospitalized with COVID-19 but present at generally low levels, and likely represents non-ischemic or secondary myocardial Injury.
Journal ArticleDOI
Deep learning and the electrocardiogram: review of the current state-of-the-art.
Sulaiman Somani,Adam Russak,Felix Richter,Shan Zhao,Akhil Vaid,Fayzan Chaudhry,Jessica K De Freitas,Nidhi Naik,Riccardo Miotto,Girish N. Nadkarni,Jagat Narula,Edgar Argulian,Benjamin S. Glicksberg +12 more
TL;DR: In the recent decade, deep learning, a subset of artificial intelligence and machine learning, has been used to identify patterns in big healthcare datasets for disease phenotyping, event predictions, and complex decision making as discussed by the authors.