School of Medicine
Showing 1-20 of 75 Results
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Michitaka Nakano
Basic Life Research Scientist, Medicine - Med/Hematology
BioI am a MD/PhD postdoctoral fellow and medical oncologist with a long-standing interest in translational cancer research. My long-term goal is to be a lab-based physician-scientist and independent academic researcher, translating basic cancer research, and mentoring next-generation scientists. My thesis work in Japan focused on cancer stem cell equilibrium by uniquely applying organoid culture as a method to elucidate cancer stem cell dynamics, which was awarded in Japanese Cancer Association. Along with the development of the field represented by success in T cell checkpoint, my interest gradually shifted to immune oncology while I examined numerous numbers of cancer patients as a medical oncology fellow. My postdoctoral fellowship at Calvin Kuo Lab in Stanford (2019-present) focuses on tumor immune microenvironment. Kuo lab developed a unique 3D air-liquid interface (ALI) organoid system that cultures tumors while preserving their endogenous infiltrating immune cells (T,B ,NK, Myeloid cells). My postdoctoral work will prove the significance of organoids as a translational tool to discover tumor-immune interaction by novel checkpoint inhibitors for immune cells, which can be broadly applicable to basic cancer biology, precision medicine, therapeutics validation and biomarker discovery.
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Sanjiv Narayan
Professor of Medicine (Cardiovascular Medicine)
Current Research and Scholarly InterestsDr. Narayan directs the Computational Arrhythmia Research Laboratory, whose goal is to define the mechanisms underlying complex human heart rhythm disorders, to develop bioengineering-focused solutions to improve therapy that will be tested in clinical trials. The laboratory has been funded continuously since 2001 by the National Institutes of Health, AHA and ACC, and interlinks a disease-focused group of clinicians, computational physicists, bioengineers and trialists.
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Fateme Nateghi Haredasht
Postdoctoral Scholar, Biomedical Informatics
BioAs a postdoctoral scholar at the Stanford Center for Biomedical Informatics Research, I find myself at the exciting intersection of machine learning and healthcare. My journey began with a PhD in Biomedical Sciences from KU Leuven in Belgium, where I delved into the complexities of machine learning algorithms and their transformative potential in healthcare settings. My research, particularly focused on adapting these algorithms for time-to-event data (a method used for predicting specific events in a patient’s future), has not only been a challenging endeavor but also a deeply fulfilling one.
Now at Stanford, my role involves not just advancing machine learning integration in healthcare, but also collaborating with a diverse team of experts. Together, we're striving to unravel complex healthcare challenges and improve patient outcomes.
