Stanford University


Showing 181-190 of 568 Results

  • Niki DeGeorge

    Niki DeGeorge

    Associate Director of Radiation Physics, Radiation Oncology

    Current Role at StanfordNiki is the Associate Director of Radiation Physics in the Department of Radiation Oncology.

  • Seena Dehkharghani MD FAHA

    Seena Dehkharghani MD FAHA

    Clinical Professor, Radiology

    BioMy research spans human, animal, and phantom studies of cerebral perfusion and metabolism, emphasizing thermometry and
    neuroenergetics. My investigations into ischemic thermometry were twice recognized with the Foundation of the ASNR Scholar Award in Neuroradiology Research and subsequently by a R01 awarded by the NIBIB. My group has developed novel computational models for cerebral hemodynamics (dynamic BOLD-CVR) and first-of-kind hyperportable microwave stroke detection tools using deep learning. I have obtained formal certification (Mathworks, Google) in machine learning and data analytics and remain engaged in self-learning in AI/ML methodologies. I have also been a post-graduate student through the Stanford University School of Engineering SCPD program in Computer Science, again with a focus in artificial intelligence through the Stanford University School of Engineering, with core competencies including machine learning, Bayesian Networks, Markov Decision Processes, and Deep Learning.

    I formerly served as Director of Stroke and Cerebrovacular Imaging Programs at Emory University and New York University, leading basic, translational, and clinical cerebrovascular imaging programs in collaboration with academic and industry partners worldwide. I returned to Stanford in Feb 2025 as Professor and Associate Chair of Informatics, and as Affiliate Faculty of the Wu Tsai Neuroscience Institute, Stanford Artificial Intelligence in Medicine and Imaging (AIMI) Center, Center for Digital Health (CDH), and
    Human-Centered AI (HAI) Institute.

    Ongoing projects that I would like to highlight include:
    1R01EB034820-01 (NIBIB).

    Previously, I was funded in an application to the Google AI Social Impact Challenge for the development of portable ultra-wideband microwave imaging instrumentation (patents issued), work for which I was selected to the NIH-NIBIB c3i Concept to Clinic: Commercializing Innovation Program.

    Presently, we have proposed to develop realistic computational models of ischemic stroke and bridge a heretofore unattempted multiscale and
    multiphysics view of neuroenergetic disturbance in the ischemic brain. The merger of a state of the art in silico neurobiological canvas
    with more than a decade of insights from rigorous experimental neuroscience and biophysical modeling points us to disturbed
    thermoregulation/dysthermia at the critical intersection of cerebral perfusion, metabolism, viability, and hence neuroenergetic balance.
    Cerebral dysthermia will be formalized in a radical departure from the historically perfusion-centered frame of reference in
    cerebrovascular ischemia, the latter having shown unfit to capture fully the adaptive, dynamic metabolic changes that subserve the
    ischemic brain. We leverage the pathoanatomic realism of our complete multiscale vascular, flow, and perfusion model tuned to direct
    measures of cerebral perfusion, oximetry, and thermography across hemodynamics states in individuals subjected to hemodynamics
    provocation, linking two procedures developed by my lab: time-resolved BOLD cerebrovascular reactivity with acetazolamide and the
    brain thermal response (BTR). This work represents a new direction of cerebrovascular and
    neurometabolic research enabled by traditionally unattainable biomarker ensembles based in non-invasive, spatiotemporally-resolved
    brain thermography.

  • Karl Deisseroth

    Karl Deisseroth

    D. H. Chen Professor, Professor of Bioengineering and of Psychiatry and Behavioral Sciences

    Current Research and Scholarly InterestsKarl Deisseroth's laboratory created and developed optogenetics, hydrogel-tissue chemistry (beginning with CLARITY), and a broad range of enabling methods. He also has employed his technologies to discover the neural cell types and connections that cause adaptive and maladaptive behaviors.

  • Cornelia L. Dekker, M.D.

    Cornelia L. Dekker, M.D.

    Professor (Research) of Pediatrics (Infectious Diseases), Emerita

    Current Research and Scholarly InterestsThe Stanford-LPCH Vaccine Program provides an infrastructure for conducting clinical studies of vaccines in children and adults. We conduct immunology studies of seasonal influenza vaccines in twins, in a longitudinal cohort of young and elderly adults and studies of various vaccine candidates for NIH and industry. Additionally, we were a CDC Clinical Immunization Safety Assessment site for 10 years working on safety issues concerning licensed vaccines.