School of Medicine
Showing 221-230 of 242 Results
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Aruna Subramanian
Clinical Professor, Medicine - Infectious Diseases
Current Research and Scholarly InterestsMy research and scholarly interests have focused on tailoring antimicrobial prophylaxis in specific highly immunocompromised hosts depending on their specific infectious disease risks. I am interested in developing diagnostic algorithms and treatment protocols that will improve the quality of care in transplant and oncology patients.
I also have an interest in training ID fellows in this very specialized area of patient care. To that end, we have started a new ICHS ID fellowship with a specialized curriculum and are developing supplemental educational materials to enhance this training, which can be implemented at other academic training centers. -
Jo-Anne Landry Suffoletto, MD
Clinical Associate Professor, Medicine - Primary Care and Population Health
BioDr. Suffoletto is a primary care doctor at Stanford Internal Medicine Clinic. She is board certified in internal medicine.
For each patient, Dr. Suffoletto prepares a care plan. Her goal is to help every individual achieve the best possible health and quality of life. Her care plans are customized, comprehensive, and compassionate.
Patients praise Dr. Suffoletto‘s clinical skills and warm bedside manner. They value her ability to listen closely and communicate clearly.
Her expertise and empathy are fundamental to her leadership as the medical director of the Stanford Coordinated Care (SCC) program. This program uses an interdisciplinary, team-based approach to enhance care for moderate- and high-risk patients throughout the Stanford Health Care system.
Dr. Suffoletto also helps educate the internal medicine providers of the future. She is a clinical associate professor of primary care and population health in the Stanford Department of Medicine, Division of Primary Care.
To advance the field of internal medicine, she has published virtual patient cases, medical education curricula, and has given regional and national presentations on women’s health topics and medical education with a focus on simulation training.
Prior to joining Stanford, she held positions as associate chief of staff for education and innovative learning and medical director of simulation education in the VA Pittsburgh Healthcare System and chief of staff at Butler VA Healthcare System in Pennsylvania. -
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.
