Research Core

项目摘要/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， Nagarajan和Barkmeier-Kraemer。该中心将监测所有中心的临床和研究活动， 包括马萨诸塞州眼耳医院(MEEI)、马萨诸塞州综合医院(MGH)、华盛顿大学 犹他州大学(UofU)和加州大学旧金山分校(UCSF)。核心将负责 喉肌张力障碍患者综合临床和影像数据库的开发 语音抖动和使用这些数据来开发和测试机器学习算法 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)综合 临床表型；(2)研究数据仓库；(3)预测性数据分析。核心的意义在于 开发和实施标准化的数据收集和分析工具，以供所有人使用 项目和相关调查人员。此外，基于不同行业通用数据的数据分析 项目和中心地点将促进开发统一的诊断和治疗生物标记物 这些障碍中的每一种。

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.