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Improving Anxiety Related to Chronic Pain Through a Sleep Circadian Intervention Program: A Pilot Study
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Preconception diet quality and modified natural cycle in vitro fertilisation outcomes
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Phytochemicals for mitigating the COVID-19 crisis: evidence from pre-clinical and clinical studies
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Birth Weight and the Related Risks in the Mothers Delivered in the Jazan Region of Saudi Arabia
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FREQUENCY OF IRON DEFICIENCY ANEMIA IN PREGNANCY, AND ITSASSOCIATED MATERNAL AND PERINATAL OUTCOMES
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Evaluation of Individuals' Mouthwash Buying and Using Habits
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Exploring the Relationship Between Sleep Apnea, Myocardial Infarct Size, and Coronary Collaterals in Acute Myocardial Infarction: A Multidisciplinary Study
Published 2025-01-01“…Vaishnavi Kundel,1 Kavya Devarakonda,1 Samira Khan,1 Mayte Suarez-Farinas,1 Oren Cohen,1 Carlos Santos-Gallego,1 Mark A Menegus,2 Annapoorna Kini,1 Yuliya Vengrenyuk,1 Naotaka Okamoto,1 Hiroshi Ueda,1 Umesh Gidwani,1 Jorge R Kizer,3 Susan Redline,4 Robert Kaplan,2,5 Neomi Shah1 1Icahn School of Medicine at Mount Sinai, New York, NY, USA; 2Albert Einstein College of Medicine, Bronx, NY, USA; 3Cardiology Section, San Francisco Veterans Affairs Health Care System and Departments of Medicine, Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA; 4Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; 5Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USACorrespondence: Vaishnavi Kundel, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L Levy Place, Box 1232, New York, NY, 10029, USA, Tel +1-212-241-1967, Email Vaishnavi.kundel@mssm.eduPurpose: We designed a study investigating the cardioprotective role of sleep apnea (SA) in patients with acute myocardial infarction (AMI), focusing on its association with infarct size and coronary collateral circulation.Methods: We recruited adults with AMI, who underwent Level-III SA testing during hospitalization. …”
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Predicting Carbon Residual in Biomass Wastes Using Soft Computing Techniques
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