Wu Tsai Neurosciences Institute
Showing 1-10 of 29 Results
Sanjiv Sam Gambhir, MD, PhD
Virginia and D.K. Ludwig Professor for Clinical Investigation in Cancer Research and Professor, by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsMy laboratory focuses on merging advances in molecular biology with those in biomedical imaging to advance the field of molecular imaging. Imaging for the purpose of better understanding cancer biology and applications in gene and cell therapy, as well as immunotherapy are all being studied. A key long-term focus is the earlier detection of cancer by combining in vitro diagnostics and molecular imaging.
Assistant Professor of Applied Physics and, by courtesy, of Neurobiology, of Electrical Engineering and of Computer Science
Current Research and Scholarly InterestsTheoretical / computational neuroscience
Younger Family Professor and Professor of Structural Biology
Current Research and Scholarly InterestsStructural and functional studies of transmembrane receptor interactions with their ligands in systems relevant to human health and disease - primarily in immunity, infection, and neurobiology. We study these problems using protein engineering, structural, biochemical, and combinatorial biology approaches.
Assistant Professor of Psychology
Current Research and Scholarly InterestsHow does neural activity in the human cortex create our sense of visual perception? We use a combination of functional magnetic resonance imaging, computational modeling and analysis, and psychophysical measurements to link human perception to cortical brain activity.
Associate Professor of Comparative Medicine and, by courtesy, of Psychiatry and Behavioral Sciences at the Stanford University Medical Center
Current Research and Scholarly InterestsThe medical research community has long recognized that good well-being is good science. The lab uses an integrated interdisciplinary approach to explore this interface, while providing tangible deliverables for the well-being of human patients and research animals.
Assistant Professor (Research) of Medicine (Biomedical Informatics) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsComputational systems biology of human disease. Particular focus on integration of high-throughput datasets with each other, and with phenotypic information and clinical outcomes.
Paul George, MD, PhD
Assistant Professor of Neurology and, by courtesy, of Neurosurgery at the Stanford University Medical Center
Current Research and Scholarly InterestsCONDUCTIVE POLYMER SCAFFOLDS FOR STEM CELL-ENHANCED STROKE RECOVERY:
We focus on developing conductive polymers for stem cell applications. We have created a microfabricated, polymeric system that can continuously interact with its biological environment. This interactive polymer platform allows modifications of the recovery environment to determine essential repair mechanisms. Recent work studies the effect of electrical stimulation on neural stem cells seeded on the conductive scaffold and the pathways by which it enhances stroke recovery Further understanding the combined effect of electrical stimulation and stem cells in augmenting neural repair for clinical translational is a major focus of this research going forward.
BIOPOLYMER SYSTEMS FOR NEURAL RECOVERY AND STEM CELL MODULATION:
The George lab develops biomaterials to improve neural recovery in the peripheral and central nervous systems. By controlled release of drugs and molecules through biomaterials we can study the temporal effect of these neurotrophic factors on neural recovery and engineer drug delivery systems to enhance regenerative effects. By identifying the critical mechanisms for stroke and neural recovery, we are able to develop polymeric technologies for clinical translation in nerve regeneration and stroke recovery. Recent work utilizing these novel conductive polymers to differentiate stem cells for therapeutic and drug discovery applications.
APPLYING ENGINEERING TECHNIQUES TO DETERMINE BIOMARKERS FOR STROKE DIAGNOSTICS:
The ability to create diagnostic assays and techniques enables us to understand biological systems more completely and improve clinical management. Previous work utilized mass spectroscopy proteomics to find a simple serum biomarker for TIAs (a warning sign of stroke). Our study discovered a novel candidate marker, platelet basic protein. Current studies are underway to identify further candidate biomarkers using transcriptome analysis. More accurate diagnosis will allow for aggressive therapies to prevent subsequent strokes.
Assistant Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Current Research and Scholarly InterestsMy lab focuses on biomedical data fusion: the development of machine learning methods for biomedical decision support using multi-scale biomedical data. We primarily use methods based on regularized linear regression to accomplish this. We primarily focus on applications in oncology and neuroscience.
Professor of Anesthesiology, Perioperative and Pain Medicine, Emerita
Current Research and Scholarly InterestsAstrocytes, microglia and neurons interact, and have unique vulnerabilities to injury based on their patterns of gene expression and their functional roles. We focus on the cellular and molecular basis of brain cell injury in stroke. We study the effects of altering miRNA expression, altering levels of heat shock and cell death regulatory proteins. Our goal is to improve outcome by improving mitochondrial function and brain cell survival, and reducing oxidative stress and inflammation.
Professor of Biology
Current Research and Scholarly InterestsMy work has contributed to understanding electrical excitability in nerve & muscle in organisms ranging from brittle-stars to mammals. Current research addresses behavior, physiology and ecology of squid through field and lab approaches. Electronic tagging plus in situ video, acoustic and oceanographic methods are used to study behaviors and life history in the field. Lab work focuses on control of chromogenic behavior by the chromatophore network and of locomotion by the giant axon system.