Wu Tsai Neurosciences Institute
Showing 31-35 of 35 Results
-
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.
-
Laramie Duncan
Assistant Professor of Psychiatry and Behavioral Sciences (Major Laboratories and Clinical Translational Neurosciences Incubator)
Current Research and Scholarly InterestsWe study genetic and environmental effects on mental health. Much of our work is computational and it relies upon genetic data, collected from millions of individuals, from around the world. We use genetic approaches because the overall goal of the lab is to discover fundamental information about psychiatric disorders, and ultimately to build more rational approaches to classification, prevention, and treatment.
-
Alexander Dunn
Associate Professor of Chemical Engineering
On Leave from 10/01/2023 To 06/30/2024Current Research and Scholarly InterestsMy lab is deeply interested in uncovering the physical principles that underlie the construction of complex, multicellular animal life.
-
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
Clinical Associate Professor, Neurology & Neurological Sciences
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