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PROFESSOR | Medicine, Pulmonary, Critical Care and Sleep Medicine
Biography
Neomi Shah, MD, MPH, MSC, is a Professor in the Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine. Dr. Shah is board-certified in Internal Medicine, Pulmonary, Critical Care and Sleep Medicine. She completed her clinical and research fellowship in Pulmonary, Critical Care, and Sleep at Yale University School of Medicine. During her fellowship, she also earned a Master’s in Public Health from the Yale School of Public Health and received the Ruth L. Kirschstein National Research Service Award. Dr. Shah’s post-doctoral research identified sleep apnea as a risk factor for coronary artery disease related events. She seeks to elucidate the complex relationship between obstructive sleep apnea (OSA) and coronary artery disease, especially in the setting of an acute myocardial infarction. After completing fellowship, Dr. Shah was a faculty member at Albert Einstein College of Medicine/Montefiore prior to joining Mount Sinai. Dr. Shah has received two grant awards from the American Sleep Medicine Foundation (2009, 2011) and an institutional CTSA KL-2 Career Development Award (2012-2015). Dr. Shah is the Principal Investigator of an NIH funded K-23 award. She leads a multidisciplinary translational study that investigates the effect of sleep apnea on severity and prognosis of myocardial infarction through an integrated assessment of: (1) quantification of myocardial infarct size using cardiac imaging, (2) coronary collateral scoring and (3) biomarkers of hypoxic stress. In addition to the K-23, Dr. Shah also recently received a Focused Projects Award from the American Sleep Medicine Foundation where she plans to measure “Coronary Plaque Activity Using Cardiac Gated PET-CT with 18F-NaF in Individuals With and Without Sleep Apnea”. She has partnered her research with a leading expert in the field of cardiac imaging, Dr. Zahi Fayad, who is the Director of the Translational and Molecular Imaging Institute at Sinai. In addition to the above noted research investigations, Dr. Shah is also the Medical Director of Bronx Clinic for the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), a landmark population-based study of health outcomes in the US Latino population led by her mentor Dr. Robert Kaplan. There is an extensive sleep component in HCHS/SOL, including both self-reported and objective sleep monitoring, making it one of the largest studies ever conducted on sleep disorders and vascular disease. Dr. Shah has been actively involved in data collection, analysis and manuscript production in this ambitious and complex study of 16,000 Hispanic individuals from across the US. In particular, she has spearheaded research in this cohort aimed to identify gender and ethnic differences in the presentation of sleep apnea and biomarkers of sleep apnea that are linked to cardiovascular disease risk. Dr. Shah is board-certified in Internal Medicine, Pulmonary, Critical Care and Sleep Medicine. Dr. Shah serves on the editorial board of CHEST and Journal of Epidemiological Research. Additionally, she serves on CHEST’s Sleep Steering Committee, American Thoracic Society’s Sleep and Respiratory Neurobiology Assembly’s Education Committee. She has published her research in the American Journal of Respiratory and Critical Care Medicine, Sleep and Breathing, Arteriosclerosis and Thrombosis Vascular Biology and The Journal of Clinical Sleep Medicine. Additionally, Dr. Shah is pursuing a Master of Science in Health Care Delivery Leadership at the Mount Sinai’s Graduate School of Biomedical Sciences and is expected to graduate in 2017.
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Collaborations and top research areas from the last five years
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Soluble cytokine receptor levels in obstructive sleep apnea patients treated with continuous positive airway pressure therapy
Kiriluk, S. H., Freeburg, L. A., Khan, S., McAlpine, C. S., Cohen, O., Kundel, V., Saurez-Farinas, M., Spinale, F. G. & Shah, N., 2026, In: Future Science OA. 12, 1, 2553471.Research output: Contribution to journal › Article › peer-review
Open Access -
Treatment preferences for comorbid obesity and obstructive sleep apnea (PRO-CON OSA) survey: Patient and provider preferences for CPAP and/or tirzepatide
PARADIGM-SLEEP Investigators, Dec 2026, In: Journal of Clinical Sleep Medicine. 22, 1, 35.Research output: Contribution to journal › Article › peer-review
Open Access -
Wearable Devices Identify Altered Sleep Characteristics and Sleep Trajectories in Active Inflammatory Bowel Disease
Hirten, R. P., Danieletto, M., Whang, J. K., Landell, K., Helmus, D., Said, H., Ensari, I., Shah, N., Bagiella, E., Figueiro, M. G., Sands, B. E. & Suarez-Farinas, M., Mar 2026, In: Clinical Gastroenterology and Hepatology. 24, 3, p. 805-813.e3Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
A foundational transformer leveraging full night, multichannel sleep study data accurately classifies sleep stages
Fox, B., Jiang, J., Wickramaratne, S., Kovatch, P., Suarez-Farinas, M., Shah, N. A., Parekh, A. & Nadkarni, G. N., 1 Aug 2025, In: Sleep. 48, 8Research output: Contribution to journal › Article › peer-review
Open Access7 Scopus citations -
A Pre-Trained Model Customization Framework for Accelerated PET/MR Segmentation of Abdominal Fat in Obstructive Sleep Apnea
Fauveau, V., Patel, H., Prevot, J., Xu, B., Cohen, O., Khan, S., Robson, P. M., Fayad, Z. A., Lippert, C., Greenspan, H., Shah, N. & Kundel, V., Dec 2025, In: Diagnostics. 15, 24, 3243.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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AI Model Predicts How CPAP Affects Cardiovascular Risk in Obstructive Sleep Apnoea
Cohen, O., Suarez-Farinas, M. & Shah, N.
22/04/26
1 item of Media coverage
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In brief: Dreem connects to Amazon, CMS highlights digital health, AdaptHealth refinances
15/04/26
1 item of Media coverage
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Researchers Develop Machine Learning Model to Predict How CPAP Affects CVD Risk in Obstructive Sleep Apnea Patients
Cohen, O., Suarez-Farinas, M. & Shah, N.
14/04/26
1 item of Media coverage
Press/Media
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Researchers develop algorithm to predict impact of CPAP therapy on cardiovascular...
13/04/26
1 item of Media coverage
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Mount Sinai Researchers Develop Machine Learning Model to Predict How CPAP Affects Cardiovascular Disease Risk in Patients With Obstructive Sleep Apnea
Cohen, O., Suarez-Farinas, M. & Shah, N.
9/04/26 → 10/04/26
5 items of Media coverage
Press/Media