Wu Tsai Neurosciences Institute
Showing 31-35 of 35 Results
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Alfredo Dubra, PhD
Professor of Ophthalmology
Current Research and Scholarly InterestsOur lab seeks to help the early diagnosing and monitoring progression of ocular, vascular, neurodegenerative and systemic diseases through novel non-invasive optical ophthalmic imaging. We pursue this goal through a multidisciplinary approach that integrates optics, computer science, vision science, electrical engineering and other engineering disciplines.
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Laramie Duncan
Assistant Professor of Psychiatry and Behavioral Sciences (Major Laboratories and Clinical Translational Neurosciences Incubator)
Current Research and Scholarly InterestsOur work is at the intersection of statistical genetics, psychiatry, and neuroscience. We use massive datasets and primarily computational approaches to identify mechanisms contributing to mental health problems like schizophrenia and depression. The overall goal of the lab is to discover fundamental information about psychiatric disorders, and ultimately to build more effective approaches to classification, prevention, and treatment.
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Alexander Dunn
Professor of Chemical Engineering
Current Research and Scholarly InterestsMy lab is deeply interested in uncovering the physical principles that underlie the construction of complex, multicellular animal life.
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James Dunn
Professor of Surgery (Pediatric Surgery) and, by courtesy, of Bioengineering
Current Research and Scholarly InterestsIntestinal lengthening for short bowel syndrome
Intestinal stem cell therapy for intestinal failure
Skin derived precursor cell therapy for enteric neuromuscular dysfunction
Intestinal tissue engineering -
Emmanuel During, MD
Member, Wu Tsai Neurosciences Institute
Current Research and Scholarly InterestsImproving diagnostics and therapeutics in RBD, using home ambulatory devices including wearable actigraphy, dry-EEG, to power clinical trials based on objective outcomes of RBD activity.
Controlling symptoms of RBD testing drugs rigorously.
Predicting the course of neurodegeneration using deep phenotyping using clinical and serum biomarkers, measures of autonomic impairment, skin biopsy, microbiome