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Girish N Nadkarni, MD
img_Girish N Nadkarni
PROFESSOR | Medicine, Data Driven & Digital Medicine
PROFESSOR | Medicine, Nephrology
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Specialties
Nephrology, Internal Medicine
Research Topics
Bioinformatics, Biostatistics, Cardiovascular, Genetics, Kidney
Multi-Disciplinary Training Area
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Genetics and Genomic Sciences [GGS]

MD, Rutgers Biomedical & Health Sciences

MPH, Johns Hopkins Bloomberg School of Public Health

Residency, Internal Medicine, Mount Sinai West

Fellowship, Nephrology, Mount Sinai Hospital

Certifications

American Board of Internal Medicine

2014

Distinguished Paper Award

American Medical Informatics Association

2013

Best Abstract-Kidney Week

American Society of Nephrology

2012

Outstanding Senior Resident-Department of Medicine

St Lukes Roosevelt Hospital Center at Mount Sinai

334
Publications

Selected Publications

A foundational vision transformer improves diagnostic performance for electrocardiograms. Akhil Vaid, Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander Charney, Hayit Greenspan, Jagat Narula, Benjamin Glicksberg, Girish N. Nadkarni. npj Digital Medicine

A machine learning model identifies patients in need of autoimmune disease testing using electronic health records. Iain S. Forrest, Ben O. Petrazzini, Áine Duffy, Joshua K. Park, Anya J. O’Neal, Daniel M. Jordan, Ghislain Rocheleau, Girish N. Nadkarni, Judy H. Cho, Ashira D. Blazer, Ron Do. Nature Communications

Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network. Jennifer A. Pacheco, Luke V. Rasmussen, Ken Wiley, Thomas Nate Person, David J. Cronkite, Sunghwan Sohn, Shawn Murphy, Justin H. Gundelach, Vivian Gainer, Victor M. Castro, Cong Liu, Frank Mentch, Todd Lingren, Agnes S. Sundaresan, Garrett Eickelberg, Valerie Willis, Al’ona Furmanchuk, Roshan Patel, David S. Carrell, Yu Deng, Nephi Walton, Benjamin A. Satterfield, Iftikhar J. Kullo, Ozan Dikilitas, Joshua C. Smith, Josh F. Peterson, Ning Shang, Krzysztof Kiryluk, Yizhao Ni, Yikuan Li, Girish N. Nadkarni, Elisabeth A. Rosenthal, Theresa L. Walunas, Marc S. Williams, Elizabeth W. Karlson, Jodell E. Linder, Yuan Luo, Chunhua Weng, Wei Qi Wei. Scientific Reports

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Mount Sinai Data Science Discovery for COVID-19
Apolipoprotein LI: Parasites, Genes and Disease

Annenberg Building Floor 18 Room 18-16

1468 Madison Ave

New York, NY 10029

Physicians and scientists on the faculty of the Icahn School of Medicine at Mount Sinai often interact with pharmaceutical, device and biotechnology companies to improve patient care, develop new therapies and achieve scientific breakthroughs. In order to promote an ethical and transparent environment for conducting research, providing clinical care and teaching, Mount Sinai requires that salaried faculty inform the School of their relationships with such companies.

Below are financial relationships with industry reported by Dr. Nadkarni during 2022 and/or 2023. Please note that this information may differ from information posted on corporate sites due to timing or classification differences.

Company Founder:

  • Verici Dx
  • Nexus I Connect
  • RenalytixAI
  • Data2Wisdom LLC

Consulting:

  • Siemens
  • RenalytixAI
  • Qiming Capital

Industry-Sponsored Lectures: MSSM faculty occasionally give lectures at events sponsored by industry, but only if the events are free of any marketing purpose

  • Daiichi-Sankyo Co., Ltd.

Mount Sinai's faculty policies relating to faculty collaboration with industry are posted on our website. Patients may wish to ask their physician about the activities they perform for companies.