Stanford University
Showing 13,861-13,880 of 36,301 Results
-
Henry Francis Isselbacher
Research Administrator, School of Medicine - Biomedical Ethics
BioHenry Isselbacher is a Research Administrator at the Stanford Center for Biomedical Ethics. He graduated from the University of California, Berkeley, in May 2024 with a degree in Economics and Public Health, earning honors in Public Health for his senior thesis titled "Vacancy Rates in US Hospitals with Workplace Violence Prevention Programs." As an undergraduate, Henry developed an extensive background in financial reporting and budgeting as CFO for UC Berkeley's student association and co-chair of several student fee committees. After graduating, Henry worked in the Division of Student Affairs at Cal as a Special Projects Coordinator, where he focused on efforts to streamline the accessibility and awareness of funding and other resources for students and student organizations.
-
Haruka Itakura, MD, PhD
Assistant Professor of Medicine (Oncology)
BioDr. Haruka Itakura is an Assistant Professor of Medicine (Oncology) in the Stanford University School of Medicine, a data scientist, and a practicing breast medical oncologist at the Stanford Women’s Cancer Center. She is board-certified in Oncology, Clinical Informatics, Hematology, and Internal Medicine. Her research mission is to drive medical advances at the intersection of cancer and data science, applying state-of-the-art machine learning/artificial intelligence (AI) techniques to extract clinically actionable knowledge from heterogeneous multi-scale cancer data to improve patient outcomes. Her ongoing research to develop robust methodologies and apply cutting-edge techniques to analyze complex cancer big data was catapulted by an NIH K01 Career Development Award in Biomedical Big Data Science after obtaining a PhD in Biomedical Informatics at Stanford University. Her cancer research focuses on extracting radiomic (pixel-level quantitative imaging) features of tumors from medical imaging studies and applying machine learning frameworks, including radiogenomic approaches, for the integrative analysis of heterogeneous, multiomic (e.g., radiomic, genomic, transcriptomic) data to accelerate discoveries in cancer diagnostics and therapeutics. Her current projects include data science/AI-powered prediction modeling of survival, treatment response, cancer recurrence, and metastasis in different cancer subtypes; detection of occult invasive breast cancer; and identification of novel therapeutic targets. Her goal is to translate her research findings back to the clinical setting for the benefit of patients with difficult-to-treat cancers.
-
Reem Itani, MD, MACM
Clinical Assistant Professor, Psychiatry and Behavioral Sciences - Sleep Medicine
BioDr. Itani is board certified in general pediatrics, and board eligible in pediatric pulmonology and sleep medicine. She is fellowship trained in pediatric pulmonology and sleep medicine.
Dr. Itani diagnoses and treats a wide range of sleep disorders in adults and children.
Dr. Itani’s research interests include medical education and patient compliance and education. Her other research interests have included sleep consequences of Prader-Willi syndrome and congenital central hypoventilation syndrome.
Dr. Itani has published her research in peer-reviewed journals including Journal of Clinical Sleep Medicine, Current Neurology and Neuroscience Reports, Medical Teacher, and Brain & Development. She has presented to her peers at national and regional meetings, including the Institute for Healthcare Improvement, the Innovations in Medical Education Conference, and the American Thoracic Society.
Dr. Itani is a fellow of the American Academy of Pediatrics and a member of the American Thoracic Society and the American College of Chest Physician. -
Michael Iv
Clinical Professor, Radiology
Current Research and Scholarly InterestsMy clinical and research interests include brain tumor and vascular imaging in both the adult and pediatric populations, incorporating advanced MR imaging techniques and analyses using qualitative and quantitative methods.
