Stanford University
Showing 31-40 of 47 Results
-
Eric Ip
Clinical Professor, Medicine - Primary Care and Population Health
Current Research and Scholarly InterestsMy research interests include the use and abuse of anabolic steroids and other performance enhancing/cognitive enhancing drugs.
-
Wui Ip, MD
Clinical Assistant Professor, Pediatrics
BioWui Ip, MD is a pediatrician and physician informaticist. He is interested in applying machine learning to support clinical decision making and improve patient care.
-
Negaur Iranpour, MD
Clinical Assistant Professor, Radiology
BioDr. Iranpour is a board-certified, fellowship-trained radiologist with Stanford Health Care Radiology. She is also a clinical instructor in the Department of Radiology at Stanford University School of Medicine.
Dr. Iranpour’s practice focuses on image-guided interventions for a variety of conditions including cancers, tumors, and lesions. She treats a wide range of health concerns, including cancer pain, endometriosis, prostate cancer, soft tissue tumors, uterine fibroids, and Parkinson’s disease.
Dr. Iranpour’s research interests include using abdominal MRIs to evaluate liver lesions and studying the features of pancreatic cysts. She also studies the use of MRI-guided prostate ablation and cryoablation for desmoid tumors (noncancerous growths in connective tissues).
Dr. Iranpour has been published in many peer-reviewed journals, including Abdominal Radiology, Human Psychopharmacology: Clinical and Experimental, and the Asian Pacific Journal of Cancer Prevention. She has also presented her work at national and international meetings, including at the International Society for Magnetic Resonance in Medicine, the Society of Abdominal Radiology, and the American Public Health Association. Her papers and presentations have won awards, including at the 1st Basic and Clinical Neuroscience Congress in Iran.
Dr. Iranpour is a member of the American Board of Radiology, the American College of Radiology, and the Society of Abdominal Radiology. She is also a member of the Radiological Society of North America and the International Society for Magnetic Resonance in Medicine. -
Nicole Irgens-Moller
Clinical Assistant Professor, Emergency Medicine
Clinical Assistant Professor (By courtesy), PediatricsCurrent Research and Scholarly InterestsAssociation of Race and Insurance on Social Work Consults and Child Protective Services Reports following Ingestions in Young Children. [Platform Presentation]. Ray E. Helfer Society Conference, 2024, Savannah, GA, United States
-
Kent Irwin
Director, Hansen Experimental Physics Laboratory (HEPL), Professor of Physics, of Particle Physics and Astrophysics and of Photon Science
BioIrwin Group web page:
https://irwinlab.stanford.edu/ -
Md Tauhidul Islam
Assistant Professor of Radiation Oncology (Radiation Physics)
Current Research and Scholarly InterestsMy research focuses on developing computationally efficient and clinically reliable AI methods for biomedical imaging and high-dimensional molecular data, with an emphasis on cancer and neurological disease. The Islam Lab designs novel representations and learning frameworks that improve deep learning performance in data-constrained biomedical settings, including methods that transform tabular omics data into spatially meaningful representations.
-
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 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, multi-omic (e.g., radiomic, genomic, transcriptomic) data to accelerate discoveries in cancer diagnostics and therapeutics. Her current projects include prediction modeling of survival, treatment response, recurrence, and CNS metastasis in different cancer subtypes; detection of occult invasive breast cancer; and identification of novel therapeutic targets. Her ultimate goal is to be able to translate her research findings back to the clinical setting for the benefit of patients with difficult-to-treat cancers.
