School of Medicine
Showing 141-150 of 152 Results
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Xinnan Wang
Professor of Neurosurgery
Current Research and Scholarly InterestsMechanisms underlying mitochondrial dynamics and function, and their implications in neurological disorders.
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Jenli Dawn Waters, MD
Clinical Assistant Professor, Neurosurgery
BioDr. Waters is a board-certified, fellowship-trained neurosurgeon with the Neurosurgery Program at Stanford Health Care. She is also a clinical assistant professor of neurosurgery in the Department of Neurosurgery at Stanford University School of Medicine.
Dr. Waters specializes in treating a wide range of spinal conditions. These treatments include surgery to relieve numbness or pain related to pressure on the spinal cord and procedures to repair or stabilize the spinal column (spine fusion). Her areas of expertise also include diagnosis and treatment of traumatic brain injury and brain and spinal cancers.
Dr. Waters’ research experience includes helping to develop effective strategies for diagnosing
and treating patients with different neurological cancers, including glioblastomas. As a subspecialty medical expert for spine and neurosurgery, she successfully advocated for insurance coverage of state-of-the-art, minimally invasive approaches to treating epilepsy and brain tumors.
Dr. Waters has published her work in peer-reviewed journals, including the Journal of Neurosurgery and the Journal of Neuro-Oncology. She has also authored and co-authored chapters in numerous books describing neurosurgical techniques and the diagnosis and treatment of various neurological conditions, including brain and spinal cord tumors.
Dr. Waters is a member of the Congress of Neurological Surgeons. -
Thomas J. Wilson
Clinical Professor, Neurosurgery
BioDr. Thomas J. Wilson was born in Omaha, Nebraska. He attended the University of Nebraska College of Medicine, earning his MD with highest distinction. While a medical student, he was awarded a Howard Hughes Medical Institute Research Training Fellowship and spent a year in the lab of Dr. Rakesh Singh at the University of Nebraska. He was also elected to the prestigious Alpha Omega Alpha Honor Medical Society. He completed his residency training in neurological surgery at the University of Michigan and was mentored by Dr. Lynda Yang and Dr. John McGillicuddy in peripheral nerve surgery. Following his residency, he completed a fellowship in peripheral nerve surgery at the Mayo Clinic in Rochester, Minnesota, working with Dr. Robert Spinner. He is now Clinical Associate Professor and Co-Director of the Center for Peripheral Nerve Surgery at Stanford University. He also holds a Master of Public Health (MPH) degree from the Bloomberg School of Public Health at Johns Hopkins University, with focused certificates in Clinical Trials and Health Finance and Management. His research interests include peripheral nerve outcomes research, clinical trials advancing options for patients with peripheral nerve pathologies and spinal cord injuries, and translational research focused on improved imaging techniques to assist in diagnosing nerve pain and other peripheral nerve conditions. His clinical practice encompasses the treatment of all peripheral nerve pathologies, including entrapment neuropathies, nerve tumors, nerve injuries (including brachial plexus injuries, upper and lower extremity nerve injuries), and nerve pain. Dr. Wilson enjoys working in multi-disciplinary teams to solve complex problems of the peripheral nervous system. His wife, Dr. Monique Wilson, is a practicing dermatologist in the Bay Area.
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Albert J. Wong, M.D.
Professor of Neurosurgery
Current Research and Scholarly InterestsOur goal is to define targets for cancer therapeutics by identifying alterations in signal transduction proteins. We first identified a naturally occurring mutant EGF receptor (EGFRvIII) and then delineated its unique signal transduction pathway. This work led to the identification of Gab1 followed by the discovery that JNK is constitutively active in tumors. We intiated using altered proteins as the target for vaccination, where an EGFRvIII based vaccine appears to be highly effective.
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Moss Zhao
Instructor, Neurosurgery
BioDr. Moss Zhao is an Instructor at Department of Neurosurgery, Stanford University. He develops cutting-edge and clinically viable imaging technologies to improve the diagnosis and treatment of cerebrovascular diseases across the lifespan. His specific areas of expertise include physiological modeling, arterial spin labeling, Bayesian inference, PET/MRI, and artificial intelligence. His scientific contributions could significantly improve the early detection of strokes and dementia as well as enrich the knowledge of brain development in the first two decades of life.
Dr. Zhao received his DPhil at St Cross College of University of Oxford under the supervision of Prof. Michael Chappell. As an alumni mentor, he supports the career development of students of his alma mater. Since 2016, he has presented his work to more than 3000 delegates at international conferences and held leadership positions in professional societies. His research and teaching are supported by the American Heart Association, the National Institutes of Health, and the European Cooperation in Science and Technology. -
Quan Zhou
Instructor, Neurosurgery
Affiliate, NeurosurgeryCurrent Research and Scholarly InterestsCurrent Research Focus: molecular targeted theranostic imaging of brain tumor and enhanced drug delivery
Areas of Insterests: molecular imaging, theranostics, fluorescence-guided surgery, brain tumor, drug delivery
Dr. Zhou has made substantial contributions to the growing biomedical research field of Molecular Imaging. Molecular imaging emerged in the mid twentieth century as a highly specialized discipline at the intersection of molecular biology and in vivo imaging, focusing on imaging molecules of medical interest within intact living subjects. Dr. Zhou’s research addresses some of the nation’s most pressing issues related to the development of effective approaches for accurate detection of human diseases and improving their treatment outcome. Her innovations in molecular imaging technology enables the visualization, characterization, and quantification of biologic processes taking place at the cellular and subcellular levels. The multiple and numerous potentialities of Quan’s work are applicable to the diagnosis of diseases such as cancer, neurological and cardiovascular diseases. Her strong education background in biological sciences and biomedical engineering followed by postdoctoral training in translational and clinical research have helped her develop multiple disease-specific molecular probes and imaging strategies for early cancer diagnosis, image-guided surgery, therapeutic delivery prediction and at-risk cardiovascular plaque detection. Her research also contributes to improving the treatment of these disorders by testing and optimizing the execution of new interventions. Her work is expected to have a major economic impact due to earlier disease detection and personalized therapy.
Dr. Zhou’s research has led to emergence of novel solutions and opportunities, in particular, for molecular imaging of cancer and other diseases, for discovering, leveraging and integration of cancer biomarker and tumor microenvironment information, and for novel approaches to acquire real-time high-resolution contrast enhanced visualization of tumor margin and optimization based on imaging depth, quality and speed. Dr. Zhou has been able to formulate the involved clinical and biological problems into biomedical engineering frameworks and find ways to exploit a variety of modern techniques and approaches from photoacoustic imaging, fluorescence-guided surgery, micro-electromechanical systems and therapeutic delivery strategies in developing elegant and effective solutions. Her work in the Neurosurgery Department and Molecular Imaging Program at Stanford involves research related to developing tumor-specific molecular probes, advanced imaging methods and therapeutic delivery systems for adult and pediatric patients with malignant brain cancers to improve margin detection, enhance resection accuracy, and improve treatment outcome.
