Core Sites: Department of Otolaryngology-Head & Neck Surgery, Massachusetts Eye and Ear, Department of Radiology, University of California San Francisco, Department of Surgery, Division of Otolaryngology-Head & Neck Surgery, University of Utah

Lead PIs: Kristina Simonyan, MD, PhD, DrMed, Srikantan Nagarajan, PhD, Julie Barkmeier-Kraemer, PhD

The Next-Generation Clinical Research and Data Science Core monitors clinical and research activities of all Center sites, including Massachusetts Eye and Ear Infirmary (MEE), Massachusetts General Hospital (MGH), University of Utah (UofU), and University of California San Francisco (UCSF).

The Core is responsible for the development of comprehensive clinical and imaging data repositories of patients with laryngeal dystonia and voice tremor and the use of these data for the development and testing of machine-learning algorithms for differential diagnosis of these disorders and the assessment of treatment outcomes.

The Scientific Core pursues the following goals: (1) Comprehensive clinical phenotyping; (2) Research data repository, and (3) Predictive data analytics.

The Core’s significance is in developing and implementation of standardized data collection and analytical tools for their availability to all projects and associated investigators. In addition, data analytics based on common data across different projects and Center sites facilitates the development of unified diagnostic and treatment biomarkers for each of these disorders.