School of Medicine
Showing 1-20 of 51 Results
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Dhriti Nagar
Postdoctoral Scholar, Neonatal and Developmental Medicine
BioPremature birth is a leading cause of developmental and neuropsychiatric disorders in children. One of the factors causing these defects is lowered levels of available oxygen (hypoxia) in the newborn due to immature lungs. My research focuses on understanding the cellular and molecular mechanisms underlying hypoxia-induced developmental disorders of the nervous system due to preterm birth.
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Michitaka Nakano
Postdoctoral Scholar, Hematology
Current Research and Scholarly InterestsTranslation of discoveries in basic cancer research into clinical oncology
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Shingo Narita
Postdoctoral Scholar, Cardiovascular Institute
BioPostdoctoral Fellow
Cardiologist (Japan) -
Rohollah Nasiri
Postdoctoral Scholar, Radiation Physics
BioI received my PhD degree in Mechanical Engineering with a focus on Bioengineering from the Sharif University of Technology, Tehran, Iran in 2021. My Ph.D. thesis was about the design, fabrication of microfluidic devices for separating circulating tumor cells from blood. During my Ph.D., I joined Prof. Ali Khademhossini's Lab at the University of California, Los Angeles and Terasaki Institute for Biomedical innovation for two years as a visiting researcher. Following my PhD, I joined Prof. Anna Herland’s lab at KTH Royal Institute of Technology as a postdoctoral researcher from Sep. 2021 for two years. In Herland’s lab my research focused on the investigation of the brain energy metabolism using a Brain-on-a-chip model integrated with metabolic biosensors.
Currently, I am working as a postdoctoral researcher at Prof. Pratx's lab in Radiation Oncology Department at Stanford University. My current research focuses on developing an advanced Tumor-on-a-chip model for for translational cancer research. -
Fateme Nateghi Haredasht
Postdoctoral Scholar, Biomedical Informatics
BioI am a postdoctoral scholar at the Stanford Center for Biomedical Informatics Research. I earned my PhD in Biomedical Sciences from KU Leuven, Belgium. My research during my PhD program focused on machine learning applications in healthcare, particularly in the field of survival analysis.
My doctoral thesis was centered on the development of predictive models for critically ill patients with acute kidney injury (AKI). By leveraging electronic health record (EHR) data, we created personalized risk profiles for AKI survivors upon ICU discharge, leading to tailored follow-up plans. Additionally, we developed machine learning-based models to predict outcomes post-AKI, including progression to chronic kidney disease (CKD) and mortality.
In another study, we investigated the utilization of unlabeled data to enhance the accuracy of survival time predictions. By integrating partial supervision from censored data within a semi-supervised wrapper approach, we consistently achieved superior results. This approach has the potential to significantly improve survival outcome predictions, offering valuable insights for clinical decision-making.
In my current role at Stanford, I continue to advance the integration of machine learning in healthcare, collaborating with experts to improve patient care and outcomes. -
Sanaz Nazari Farsani
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioDr. Nazari Farsani works on developing and implementing machine learning techniques for automated tissue segmentation from brain PET/MR images. She is also developing machine learning algorithms for PET data correction and de-noising.
