School of Medicine
Showing 11-20 of 26 Results
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Daniel Aaron Gerber, MD
Clinical Assistant Professor, Medicine - Cardiovascular Medicine
BioDr. Gerber is a critical care cardiologist and co-director of Stanford's Cardiac ICU. He has dual subspecialty training in cardiovascular and critical care medicine and additional board certification in echocardiography. He completed his residency in internal medicine, fellowship in cardiovascular medicine, and an additional fellowship in critical care medicine at Stanford University and joined as faculty in 2021 as a Clinical Assistant Professor in the Department of Medicine’s Division of Cardiovascular Medicine.
Dr. Gerber manages the full spectrum of heart and vascular conditions with a focus on critically ill patients with life-threatening cardiovascular disease. He is active in medical education, teaching introductory echocardiography to Stanford medical students and residents, co-directing the Stanford Critical Care Medicine Critical Care Ultrasound Program, and lecturing nationally on critical care echocardiography and point-of-care ultrasonography at the Society of Critical Care Medicine’s annual congress. Finally, Dr. Gerber’s research interests focus on optimizing cardiac intensive care, including working with the Critical Care Cardiology Trials Network (CCCTN) - a national network of tertiary cardiac ICUs coordinated by the TIMI Study Group - and studying acute mechanical circulatory support techniques to improve patient outcomes and care processes. -
Rabin Gerrah
Clinical Assistant Professor, Cardiothoracic Surgery
BioDr. Rabin Gerrah is a cardiothoracic surgeon and specializes in surgical treatment of heart diseases such as ischemic, valvular, structural and congenital heart diseases. He has been trained at Harvard University and Columbia University Hospitals. Dr. Gerrah has been involved in multiple medical research projects and has patented and developed innovative surgical devices and technologies.
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Olivier Gevaert
Associate Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Current Research and Scholarly InterestsMy lab focuses on biomedical data fusion: the development of machine learning methods for biomedical decision support using multi-scale biomedical data. We primarily use methods based on regularized linear regression to accomplish this. We primarily focus on applications in oncology and neuroscience.
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Zaniar Ghazizadeh
Fellow in Medicine - Med/Cardiovascular Medicine
BioZaniar completed his Internal Medicine training at Yale New Haven Hospital/Yale School of Medicine. He received his medical degree from Tehran University of Medical Sciences and spent a few years as a post-doctoral fellow at Weill Cornell Medicine and Brigham and Women’s Hospital before his residency. His research interest lies in the development of in vitro and in vivo platforms for studying heart regeneration and precision medicine. Zaniar’s work is focused on identifying the mechanisms of cardiac arrhythmias using several experimental systems ranging from genetically engineered animal models to human pluripotent stem cell derived cardiac cell types. His ultimate goal as a clinician-scientist is to utilize this framework for drug discovery and identifying new therapeutic strategies that can prevent or reverse specific arrhythmias.
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Garry Gold
Stanford Medicine Professor of Radiology and Biomedical Imaging
Current Research and Scholarly InterestsMy primary focus is application of new MR imaging technology to musculoskeletal problems. Current projects include: Rapid MRI for Osteoarthritis, Weight-bearing cartilage imaging with MRI, and MRI-based models of muscle. We are studying the application of new MR imaging techniques such as rapid imaging, real-time imaging, and short echo time imaging to learn more about biomechanics and pathology of bones and joints. I am also interested in functional imaging approaches using PET-MRI.
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Mary Kane Goldstein
Professor of Health Policy, Emerita
Current Research and Scholarly InterestsHealth services research in primary care and geriatrics: developing, implementing, and evaluating methods for clinical quality improvement. Current work includes applying health information technology to quality improvement through clinical decision support (CDS) integrated with electronic health records; encoding clinical knowledge into computable formats in automated knowledge bases; natural language processing of free text in electronic health records; analyzing multiple comorbidities