School of Medicine


Showing 1-6 of 6 Results

  • Andrei Iagaru

    Andrei Iagaru

    Professor of Radiology (Nuclear Medicine)

    Current Research and Scholarly InterestsCurrent research projects include:
    1) PET/MRI and PET/CT for Early Cancer Detection
    2) Targeted Radionuclide Therapy
    3) Clinical Translation of Novel PET Radiopharmaceuticals;

  • Juliana Idoyaga

    Juliana Idoyaga

    Assistant Professor of Microbiology and Immunology

    Current Research and Scholarly InterestsThe 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.

    Debra M. Ikeda, M.D.

    Professor of Radiology (Breast Imaging), Emerita

    Current Research and Scholarly InterestsMy research interests are mammography positioning, tomosynthesis (DBT) cancer detection and diagnosis, MRI, DWI, MRI-guided breast biopsy, breast cancer recurrence, tattoo/ fiducial/wire localization of axillary lymph nodes, breast cancer and FDG PET-CT imaging, artifical intelligence/deep learning, breast density, density notification legislation, COVID-19 effects on Breast Imaging Centers and personnel

  • John P.A. Ioannidis

    John P.A. Ioannidis

    Professor of Medicine (Stanford Prevention Research), of Epidemiology and Population Health and by courtesy, of Statistics and of Biomedical Data Science

    Current Research and Scholarly InterestsMeta-research
    Evidence-based medicine
    Clinical and molecular epidemiology
    Human genome epidemiology
    Research design
    Reporting of research
    Empirical evaluation of bias in research
    Randomized trials
    Statistical methods and modeling
    Meta-analysis and large-scale evidence
    Prognosis, predictive, personalized, precision medicine and health
    Sociology of science

  • Haruka Itakura, MD, PhD

    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.

  • Michael Iv

    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.