School of Medicine
Showing 1-20 of 24 Results
Professor of Radiology (Nuclear Medicine) at the Stanford University Medical Center
Current Research and Scholarly Interests Current research projects include:
1) PET/MRI and PET/CT for Early Cancer Detection
2) Targeted Radionuclide Therapy
3) Clinical Translation of Novel PET Radiopharmaceuticals;
David Iberri, MD
Clinical Assistant Professor, Medicine - Hematology
Bio Dr. Iberri is a medical oncologist and hematologist who specializes in the treatment of hematologic malignancies. His clinical practices runs the gamut of malignant and non-malignant hematologic disorders including acute and chronic leukemias, multiple myeloma and lymphomas, and bleeding and thrombotic disorders. He is actively involved in clinical trials evaluating novel agents in hematologic malignancies. His research interests are in the development and application of biomarkers to select patients most likely to benefit from therapy.
Ibrahim A. Idakoji MD, MPH
Clinical Assistant Professor, Radiology
Bio Ibrahim Idakoji is a native of the Bay Area and practicing Interventional Radiologist at Stanford Medical Center who specializes in minimally invasive, image-guided percutaneous and endovascular procedures that aid in the diagnosis and treatment of complex vascular and oncologic disease. Some of his areas of interest include: treatment of both acute and chronic venous thromboembolic disease, treatment of primary and metastatic hepatic malignancy, and percutaneous pain management.
Assistant Professor of Microbiology and Immunology
Current Research and Scholarly Interests The Idoyaga Lab is focused on the function and biology of dendritic cells, which are specialized antigen-presenting cells that initiate and modulate our body?s immune responses. Considering their importance in orchestrating the quality and quantity of immune responses, dendritic cells are an indisputable target for vaccines and therapies.
Dendritic cells are not one cell type, but a network of cells comprised of many subsets or subpopulations with distinct developmental pathways and tissue localization. It is becoming apparent that each dendritic cell subset is different in its capacity to induce and modulate specific types of immune responses; however, there is still a lack of resolution and deep understanding of dendritic cell subset functional specialization. This gap in knowledge is an impediment for the rational design of immune interventions. Our research program focuses on advancing our understanding of mouse and human dendritic cell subsets, revealing their endowed capacity to induce distinct types of immune responses, and designing novel strategies to exploit them for vaccines and therapies.
Debra M. Ikeda, M.D., FACR, FSBI
Professor of Radiology (Breast Imaging)
Current Research and Scholarly Interests My research interests are quality improvement in mammography positioning, digital breast tomosynthesis (DBT) cancer detection and imaging pitfalls, MRI-guided breast biopsy, MRI BIRADS 3 lesions, fiducial markers for Radiation Therapy, correlation of breast cancer and FDG PET imaging, percutaneous breast biopsy
Daniel Imler, MD
Clinical Assistant Professor, Emergency Medicine
Current Research and Scholarly Interests I am interested in understanding the impact of smart, agile clinical pathways to drive behavior change among providers.
Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Health Research and Policy (Epidemiology)
Current Research and Scholarly Interests We are interested in the link between metabolic disturbances, such as obesity and insulin resistance, and the development of cardiovascular disease. Our research is translational and interdisciplinary, combining population-based studies with molecular biology to reach new insights into the pathophysiology of cardiovascular disease and related conditions, identification of new biomarkers for improved risk prediction, and discovery of novel drug targets.
John P.A. Ioannidis
C. F. Rehnborg Professor in Disease Prevention in the School, Professor of Medicine, of Health Research and Policy (Epidemiology) and by courtesy, of Statistics and of Biomedical Data Science
Current Research and Scholarly Interests Meta-research
Clinical and molecular epidemiology
Human genome epidemiology
Reporting of research
Empirical evaluation of bias in research
Statistical methods and modeling
Meta-analysis and large-scale evidence
Prognosis, predictive, personalized, precision medicine and health
Sociology of science
Clinical Associate Professor, Medicine - Primary Care and Population Health
Bio Dr. Ip is Director of Clinical Therapeutics Curriculum for the Stanford University MSPA Program and Clinical Associate Professor in the Department of Medicine, Division of Primary Care and Population Health. He completed his Doctor of Pharmacy degree from UCSF School of Pharmacy and his post-graduate residency at Kaiser Permanente Santa Clara Medical Center. He is a clinical pharmacist specializing in diabetes and cardiovascular care. He established and currently co-leads the Diabetes Management Program at Kaiser Permanente Mountain View Medical Offices. He is also Chair and Professor of Clinical Sciences at Touro University California College of Pharmacy. Dr. Ip's research interests include anabolic steroids and performancing enhancing drugs as well as educational research.
Assistant Professor of Medicine (Oncology) at the Stanford University Medical Center
Bio I am an Assistant Professor of Medicine (Oncology) in the Stanford University School of Medicine. As a physician-scientist, my research mission is to drive medical advances at the intersection of cancer and data science research. Specifically, I aim to innovate state-of-the-art technologies to extract clinically useful knowledge from heterogeneous multi-scale biomedical data to improve diagnostics and therapeutics in cancer. I am a board-certified hematologist-oncologist and informaticist with specialized training in basic science, health services, and translational research. My clinical background in oncology and PhD training in Biomedical Informatics position me to develop and apply data science methodologies on heterogeneous, multi-scale cancer to extract actionable knowledge that can improve outcomes in cancer. My ongoing research to develop and apply cutting-edge knowledge and skills to pioneer new robust methodologies for analyzing cancer big data is being supported by an NIH K01 Career Development Award in Biomedical Big Data Science. My research focuses on developing and applying machine learning frameworks and radiogenomic approaches for the integrative analysis of heterogeneous, multi-scale data to accelerate discoveries in cancer diagnostics and therapeutics. Projects include prediction modeliI am an Assistant Professor of Medicine (Oncology) and practicing oncologist at the Stanford Cancer Center with background in biomedical informatics. ng of survival and treatment response, biomarker discovery, cancer subtype discovery, and identification of new therapeutic targets.