School of Medicine
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E. John Harris Jr.
Professor of Surgery (Vascular) at the Stanford University Medical Center
Current Research and Scholarly Interests I am interested in thrombosis and the role of thrombin and its receptor in venous wall remodeling following venous thrombosis. I am also interested in vascular hemodynamics and the use of ultrasound, MRI and computational modeling in evaluating arterial flow in exercise conditions.
Gary E Hartman, MD, MBA
Clinical Professor, Surgery - Pediatric Surgery
Current Research and Scholarly Interests Minimal Access and Robotic Surgery
Professor of Surgery (Plastic & Reconstructive Surgery)
Current Research and Scholarly Interests Dr. Helms' research interests center around regenerative medicine and craniofacial development.
Professor of Surgery, Emeritus
Current Research and Scholarly Interests 1. Nerve regeneration and repair, evaluation of repair methods, modalities to enhance peripheral nerve regeneration, development of improved methods to analyze nerve regeneration.
2. Implementation of functional neuromuscular stimulation to paralytic deformities.
3. Computer modeling of upper limb function.
Associate Professor (Research) of Surgery (General Surgery), of Medicine (Biomedical Informatics Research Center) and of Biomedical Data Science
Current Research and Scholarly Interests My background and expertise is in the field of computational biology, with concentration in health services research. A key focus of my research is to apply novel methods and tools to large clinical datasets for hypothesis generation, comparative effectiveness research, and the evaluation of quality healthcare delivery. My research involves managing and manipulating big data, which range from administrative claims data to electronic health records, and applying novel biostatistical techniques to innovatively assess clinical and policy related research questions at the population level. This research enables us to create formal, statistically rigid, evaluations of healthcare data using unique combinations of large datasets.