Stanford University
Showing 1-10 of 42 Results
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Israt Alam
Affiliate, Neurology Research
BioResearch Focus and interests: Molecular Imaging, Clinical Translation, Graft versus Host Disease, Spatial Biology, Immune-Theragnostics
Dr. Israt Alam is a Senior Scientist in the Radiology Department at Stanford University. She trained in Prof. Sanjiv Sam Gambhir's lab and transitioned to Dr. Michelle James' lab in 2021. Her research focuses on studying lymphocyte activation and developing non-invasive imaging tools, to monitor immune dynamics in response to cancer immunotherapy and in immunopathology. Her work has supported the clinical translation of several nuclear imaging agents (small molecules and a biologic) for early detection of cancer and prediction of treatment response, that are being evaluated in oncology trials around the world. She is currently leading the IND-enabling studies for a first in class PET tracer for T cell activation and has supported several biomarker detection platforms for early disease detection. She serves as Co-Chair of the "Imaging in cell and immune therapies" (ICIT) interest group for the World Molecular Imaging Society (WMIS).
Key funding: (grant conceptualization/scientific lead): NIH/NCI R01, Pfizer Inc., SNMMI Education and Research Foundation
Appointments:
-Senior Research Scientist, James Lab, Department of Radiology, Stanford
-Life Sciences Research Associate, Gambhir Lab, Department of Radiology, Stanford
-Post-Doctoral Scholar, Gambhir Lab, Department of Radiology, Stanford
-Churchill Travel Fellow in the Plateforme d'imagerie dynamique lab of Prof. Spencer Shorte, Pasteur Institute, Paris
-Science Education Consultant: United Nations Educational, Science and Cultural Organization (UNESCO), Paris
-Science Education Intern: United Nations Educational, Science and Cultural Organization (UNESCO), Paris -
Katrin Andreasson
Edward F. and Irene Thiele Pimley Professor of Neurology and Neurological Sciences
Current Research and Scholarly InterestsOur research focuses on understanding how immune responses initiate and accelerate synaptic and neuronal injury in age-related neurodegeneration, including models of Alzheimer's disease and Parkinson's disease. We also focus on the role of immune responses in aggravating brain injury in models of stroke. Our goal is the identification of critical immune pathways that function in neurologic disorders and that can be targeted to elicit disease modifying effects.
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Sachi Gianchandani
Clinical Assistant Professor (Affiliated), Medicine - Primary Care and Population Health
Staff, Neurology ResearchBioSachi Gianchandani, MD, is a palliative care physician and neurologist at the VA Palo Alto Health Care System, where she provides comprehensive care for veterans. Her current roles include providing neuropalliative care in the ALS Interdisciplinary Clinic and attending on the inpatient palliative care, hospice, and neurology services.
She completed her medical school at Oakland University William Beaumont School of Medicine, neurology residency at The Ohio State University, and palliative care fellowship at Stanford Health Care. -
Zihuai He
Associate Professor (Research) of Neurology and Neurological Sciences (Neurology Research), of Medicine (Computational Medicine) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsStatistical genetics and other omics to study Alzheimer's disease and aging.
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John Huguenard
Professor of Neurology and Neurological Sciences (Neurology Research), of Neurosurgery (Adult Neurosurgery) and, by courtesy, of Molecular and Cellular Physiology
Current Research and Scholarly InterestsWe are interested in the neuronal mechanisms that underlie synchronous oscillatory activity in the thalamus, cortex and the massively interconnected thalamocortical system. Such oscillations are related to cognitive processes, normal sleep activities and certain forms of epilepsy. Our approach is an analysis of the discrete components (cells, synapses, microcircuits) that make up thalamic and cortical circuits, and reconstitution of components into in silico computational networks.
