School of Medicine
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Assistant Professor of Medicine (Primary Care and Population Health) and, by courtesy, of Epidemiology and Population Health
BioPascal Geldsetzer is an Assistant Professor of Medicine in the Division of Primary Care and Population Health and, by courtesy, in the Department of Epidemiology and Population Health. He is also affiliated with the Department of Biomedical Data Science, Department of Health Policy, King Center for Global Development, and the Stanford Centers for Population Health Sciences, Innovation in Global Health, and Artificial Intelligence in Medicine & Imaging.
Linda N. Geng, MD, PhD
Clinical Assistant Professor, Medicine - Primary Care and Population Health
Current Research and Scholarly InterestsMy scholarly interests are focused on defining, studying, and improving patients' diagnostic journeys. What prolongs the journey to the correct diagnosis and how can we shorten it? With this question in mind, we are exploring crowdsourcing, informatics/AI, health data visualization, and advanced laboratory testing as ways to help tackle the toughest cases in medicine-- complex, rare, and mystery conditions.
With the COVID pandemic, the puzzling and complex illness of post-acute COVID-19 syndrome (PACS) or long COVID came to light. Together with a multidisciplinary group of physicians and researchers, we launched a program here at Stanford to advance the care and understanding of PACS. Our goal is to better understand the natural history, clinical symptomatology, immunological response, risk factors, and subgroup stratification for PACS. We are also actively assessing management strategies that may be effective for heterogeneous PACS symptoms.
James W. Raitt M.D. Professor, Emeritus
Current Research and Scholarly InterestsClinical trials and interventions in the rheumatic diseases including Rheumatoid Arthritis,Systemic Lupus Erythematosus, Systemic Sclerosis, Osteoarthritis.
Assistant Professor (Research) of Pathology, of Medicine (BMIR) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsComputational systems biology of human disease. Particular focus on integration of high-throughput datasets with each other, and with phenotypic information and clinical outcomes.
Daniel Aaron Gerber, MD
Clinical Assistant Professor, Medicine - Cardiovascular Medicine
BioDr. Gerber is a critical care cardiologist with dual subspecialty training in cardiovascular and critical care medicine. He is a Clinical Assistant Professor at Stanford University Medical Center in the Department of Medicine’s Division of Cardiovascular Medicine. 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.
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, critical care echocardiography and point-of-care ultrasonography to Stanford’s Critical Care Medicine fellows and was invited faculty at the Society of Critical Care Medicine’s 2021 Advanced Critical Care Ultrasound Course. 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 temporary mechanical circulatory support techniques, including extracorporeal membrane oxygenation (ECMO), to improve patient outcomes.
Senior Associate Dean for Medical Education, George DeForest Barnett Founders Professor of Medicine and Professor (Teaching) of Medicine (Endocrinology)
Current Research and Scholarly InterestsOur medical education research group is developing and validating the best educational practices to train competent, compassionate, and ethical physicians and physician-scientists. We are studying the use of standardized patients and other modalities to improve clinical skill training and reasoning. We are interested in applying the rigor of clinical investigation to education research.
My areas of clinical interest in endocrinology include disorders of the pituitary, thyroid, and gonad.
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.