Research Core

项目总结/摘要 下一代临床研究和数据科学核心将由Simonyan博士共同领导， 纳格拉扬和巴克迈尔-克雷默核心委员会将监测所有临床试验机构的临床和研究活动， 包括马萨诸塞州眼耳医院（MEEI）、马萨诸塞州总医院（MGH）、 犹他州（UofU）和加州旧金山弗朗西斯科（UCSF）。核心将负责 开发喉肌张力障碍患者的综合临床和成像数据库， 声音震颤和使用这些数据的机器学习算法的开发和测试， 这些疾病的鉴别诊断和治疗结果的评估。下一代 临床研究和数据科学核心将追求以下两个具体目标：（1）全面 临床表型分析;（2）研究数据存储库;（3）预测数据分析。核心的意义在于 开发和实施标准化数据收集和分析工具，使所有人都能使用这些工具 项目和相关调查人员。此外，数据分析基于跨不同 项目和中心地点将促进开发统一的诊断和治疗生物标志物， 每一种疾病

PROJECT SUMMARY / ABSTRACT The Next-Generation Clinical Research and Data Science Core will be jointly led by Drs. Simonyan, Nagarajan and Barkmeier-Kraemer. The Core will monitor clinical and research activities of all Center sites, including Massachusetts Eye and Ear Infirmary (MEEI), Massachusetts General Hospital (MGH), University of Utah (UofU), and University of California San Francisco (UCSF). The Core will be 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 Next-Generation Clinical Research and Data Science Core will pursue the following two specific aims: (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 will facilitate the development of unified diagnostic and treatment biomarkers for each of these disorders.