Stanford University
Showing 111-120 of 347 Results
-
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. -
Gregory Deierlein
John A. Blume Professor in the School of Engineering
BioDeierlein's research focuses on improving limit states design of constructed facilities through the development and application of nonlinear structural analysis methods and performance-based design criteria. Recent projects include the development and application of strength and stiffness degrading models to simulate steel and reinforced concrete structures, seismic design and behavior of composite steel-concrete buildings, analysis of inelastic torsional-flexural instability of steel members, and a fracture mechanics investigation of seismically designed welded steel connections.
-
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.
-
Anne Dekas
Associate Professor of Earth System Science and, by courtesy, of Oceans
Current Research and Scholarly InterestsEnvironmental microbiology, deep-sea microbial ecology, marine biogeochemistry
-
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.
