School of Medicine
Showing 601-626 of 626 Results
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Lynn Marie Westphal, M.D.
Professor of Obstetrics and Gynecology (Reproductive Endocrinology and Infertility) at Stanford University Medical Center, Emerita
Current Research and Scholarly InterestsInfertility, fertility preservation, oocyte cryopreservation
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Monte Winslow
Associate Professor of Genetics and of Pathology
Current Research and Scholarly InterestsOur laboratory uses genome-wide methods to uncover alterations that drive cancer progression and metastasis in genetically-engineered mouse models of human cancers. We combine cell-culture based mechanistic studies with our ability to alter pathways of interest during tumor progression in vivo to better understand each step of metastatic spread and to uncover the therapeutic vulnerabilities of advanced cancer cells.
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John Witte
Professor of Epidemiology and Population Health, of Biomedical Data Science and of Genetics
Current Research and Scholarly InterestsThe Witte Lab is a computational and statistical genetics group focused on deciphering the genetic and molecular mechanisms underlying cancer and other complex traits. We undertake integrative analyses across large multi-ancestry cohorts and biobanks, developing and applying methods at the interface of epidemiology, statistical genetics, and machine learning.
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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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Wing Hung Wong
Stephen R. Pierce Family Goldman Sachs Professor of Science and Human Health and Professor of Biomedical Data Science
Current Research and Scholarly InterestsCurrent interest centers on the application of statistics, computation and engineering approaches to biology and medicine. We are particularly interested in questions concerning gene regulation, genome interpretation and their applications to precision medicine.
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Joseph C. Wu, MD, PhD
Director, Stanford Cardiovascular Institute, Simon H. Stertzer, MD, Professor and Professor of Radiology
Current Research and Scholarly InterestsDrug discovery, drug screening, and disease modeling using iPSC.
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Joy Wu
Gerald M. Reaven, MD Professor of Endocrinology
Current Research and Scholarly InterestsMy laboratory focuses on the pathways that regulate the differentiation of mesenchymal stem cells into the osteoblast and adipocyte lineages. We are also studying the role of osteoblasts in the hematopoietic and cancer niches in the bone marrow microenvironment.
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Joanna Wysocka
Lorry Lokey Professor and Professor of Developmental Biology
Current Research and Scholarly InterestsThe precise and robust regulation of gene expression is a cornerstone for complex biological life. Research in our laboratory is focused on understanding how regulatory information encoded by the genome is integrated with the transcriptional machinery and chromatin context to allow for emergence of form and function during human embryogenesis and evolution, and how perturbations in this process lead to disease.
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Lei Xing
Jacob Haimson and Sarah S. Donaldson Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly Interestsartificial intelligence in medicine, medical imaging, Image-guided intervention, molecular imaging, biology guided radiation therapy (BGRT), treatment plan optimization
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Bo Yu, MD
Associate Professor of Obstetrics and Gynecology (Reproductive Endocrinology and Infertility)
Current Research and Scholarly InterestsDr. Yu’s lab is interested in ovarian physiology and pathology, as well as assisted reproductive technologies (ART).
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Lisa Zaba, MD, PhD
Associate Professor of Dermatology
BioLisa Zaba M.D. Ph.D., is an Associate Professor of Dermatology, and Director of the Merkel cell carcinoma (MCC) multi-disciplinary clinic and member of the supportive oncodermatology group at the Stanford Cancer Center. She runs a lab focusing on the immunology of MCC and the treatment and prognostic implications of immune checkpoint inhibitor and targeted therapy rashes. Dr. Zaba completed medical school at Cornell University, PhD in immunology at Rockefeller University, Residency and Post-Doc at Stanford University in 2013.
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Richard Zare
Marguerite Blake Wilbur Professor of Natural Science and Professor, by courtesy, of Physics
Current Research and Scholarly InterestsMy research group is exploring a variety of topics that range from the basic understanding of chemical reaction dynamics to the nature of the chemical contents of single cells.
Under thermal conditions nature seems to hide the details of how elementary reactions occur through a series of averages over reagent velocity, internal energy, impact parameter, and orientation. To discover the effects of these variables on reactivity, it is necessary to carry out studies of chemical reactions far from equilibrium in which the states of the reactants are more sharply restricted and can be varied in a controlled manner. My research group is attempting to meet this tough experimental challenge through a number of laser techniques that prepare reactants in specific quantum states and probe the quantum state distributions of the resulting products. It is our belief that such state-to-state information gives the deepest insight into the forces that operate in the breaking of old bonds and the making of new ones.
Space does not permit a full description of these projects, and I earnestly invite correspondence. The following examples are representative:
The simplest of all neutral bimolecular reactions is the exchange reaction H H2 -> H2 H. We are studying this system and various isotopic cousins using a tunable UV laser pulse to photodissociate HBr (DBr) and hence create fast H (D) atoms of known translational energy in the presence of H2 and/or D2 and using a laser multiphoton ionization time-of-flight mass spectrometer to detect the nascent molecular products in a quantum-state-specific manner by means of an imaging technique. It is expected that these product state distributions will provide a key test of the adequacy of various advanced theoretical schemes for modeling this reaction.
Analytical efforts involve the use of capillary zone electrophoresis, two-step laser desorption laser multiphoton ionization mass spectrometry, cavity ring-down spectroscopy, and Hadamard transform time-of-flight mass spectrometry. We believe these methods can revolutionize trace analysis, particularly of biomolecules in cells. -
James L. Zehnder, M.D.
Professor of Pathology (Research) and of Medicine (Hematology)
Current Research and Scholarly InterestsMy main research and clinical interests include molecular pathogenesis of acquired cytopenias, genetic testing for inherited non-malignant hematologic disorders, next-generation sequencing approaches to T and B cell clonality testing, somatic mutations in cancer and assessment of minimal residual disease in cancer patients.
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An Ni Zhang
Postdoctoral Scholar, Stanford Cancer Institute
BioAnni obtained her Ph.D. in Dr. James Johnson and Dr. Janel Kopp's labs at the University of British Columbia. Her Ph.D. work showed that hyperinsulinemia contributes to pancreatic cancer development. Her work also showed that insulin directly acted via the insulin receptors in pancreatic acinar cells to increase digestive enzyme production, thereby generating an inflammatory condition that accelerates neoplastic transformation. She is now working at Diehn lab to investigate the mechanisms of KEAP1 mutation-induced immunotherapy resistance in lung cancer.
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James Zou
Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
Current Research and Scholarly InterestsMy group works on both foundations of statistical machine learning and applications in biomedicine and healthcare. We develop new technologies that make ML more accountable to humans, more reliable/robust and reveals core scientific insights.
We want our ML to be impactful and beneficial, and as such, we are deeply motivated by transformative applications in biotech and health. We collaborate with and advise many academic and industry groups.
