School of Medicine
Showing 2,041-2,050 of 2,394 Results
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Takeshi Sugio
Postdoctoral Scholar, Oncology
BioI am a physician-scientist and hematologist focused on clinical translation of T-cell biology. I received my MD from Kyushu University, and subsequently completed Residency Training at Toranomon Hospital, the largest transplant center in Japan. I continued my Hematology training at Kyushu University, where I qualified as a Board-certified specialist (2017) and supervisory hematologist (2021) by the Japanese Society of Hematology. For my PhD (2014-19), I studied expression profiles and histologic features of TCLs. I discovered distinct TCL clinical groups identified by infiltrating immune cell patterns in the microenvironment. Based on my dissertation work (Sugio, et al 2018 Blood Advances), I planned and conducted a Phase II trial of PD1 inhibition for relapsed/refractory TCL (UMIN000034499). I joined the Alizadeh lab at Stanford in 2021, where I am developing tools to analyze immune status using liquid biopsies.
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Walter Sujansky
Adjunct Professor, Department of Medicine, Center for Biomedical Informatics Research
BioWalter Sujansky, MD PhD is an Adjunct Professor of Biomedical Informatics at the Stanford Center for Biomedical Informatics Research in the Stanford Department of Medicine. Dr. Sujansky co-teaches BMI-210 Modeling Biomedical Systems, where he lectures on a variety of topics, including deep neural networks, probabilistic reasoning, electronic health records, and health data integration and interoperability. He also advises students in the Biomedical Data Science Graduate Program, an interdisciplinary graduate and postdoctoral training program that is part of the Department of Biomedical Data Science. His research interests include the modeling of biomedical concepts based on formal logic and the engineering of features for biomedical machine learning algorithms.
Dr. Sujansky earned an M.D. and a Ph.D. in Medical Informatics from Stanford University, where his doctoral research addressed heterogeneous database integration and clinical decision support. He also earned a B.A. in Economics from Harvard University.
Dr. Sujansky is also the managing consultant at Sujansky & Associates, LLC, a consulting firm that specializes in the representation, management, and analysis of clinical data in information systems. In this capacity, his work focuses on the modeling of complex biomedical data related to patient phenotyping, clinical genomics, quality measurement, automated decision support, and machine learning. His firm has helped to develop shared computing resources such as the California Joint Replacement Registry and the Laboratory Interoperability Data Repository. The firm's clients include the federal and state governments, non-profit organizations, health information system developers, and drug/device manufacturers. Dr. Sujansky also provides forensic analysis of health information technologies for medical malpractice and intellectual property litigation. -
Fangdi Sun
Assistant Professor of Medicine (Oncology)
BioDr. Sun is a medical oncologist and clinical investigator at Stanford University. She specializes in the treatment of patients with head and neck malignancies, with specific interests in virus-driven malignancies and novel, biomarker-guided therapies in head and neck cancer. She received her medical degree from Harvard Medical School, followed by a residency and chief residency at the University of California, San Francisco, and then served as chief fellow in hematology and medical oncology at Stanford University. She has earned honors and recognition from the American Association of Cancer Research (AACR), American Society of Clinical Oncology (ASCO), and International Association for the Study of Lung Cancer (IASLC), among other organizations.
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Wenfei Sun
Assistant Professor of Medicine (Endocrinology)
Current Research and Scholarly InterestsWe explore neural circuits regulating memory and systemic metabolism, integrating neuroscience and metabolic biology to tackle cognitive decline and metabolic disorders.
