Research Core

研究核心

基本信息

批准号：
10488258
负责人：
Kristina Simonyan
金额：
$ 43.64万
依托单位：
MASSACHUSETTS EYE AND EAR INFIRMARY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-15 至 2026-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10488258
关键词：
Adherence Behavioral Biological Markers Biometry Blood specimen Brain imaging California Characteristics Clinical Clinical Data Clinical Research Clinical Sciences Collection Data Data Analyses Data Analytics Data Collection Data Science Data Science Core Development Diagnostic Differential Diagnosis Disease Ear Electromyography Ensure Evaluation Eye Functional disorder Future General Hospitals Genotype Image Larynx Link Massachusetts Modeling Monitor Neurologic Outcome Study Participant Patients Peripheral Phenotype Protocols documentation Psychophysics Questionnaires Research Research Activity Research Personnel Resource Sharing Risk Factors San Francisco Severities Site Spastic Dysphonias Speech Speech Acoustics Standardization Symptoms Testing Treatment outcome Tremor Universities Utah Voice analytical tool base clinical database clinical phenotype cohort computerized data processing data acquisition data anonymization data harmonization data repository data sharing data standards data submission data tools diagnostic biomarker investigator training kinematics machine learning algorithm multimodality neuroimaging neuropsychiatry next generation prediction algorithm recruit repository respiratory screening tool

Adherence Behavioral Biological Markers Biometry Blood specimen Brain imaging California Characteristics Clinical Clinical Data Clinical Research Clinical Sciences Collection Data Data Analyses Data Analytics Data Collection Data Science Data Science Core Development Diagnostic Differential Diagnosis Disease Ear Electromyography Ensure Evaluation Eye Functional disorder Future General Hospitals Genotype Image Larynx Link Massachusetts Modeling Monitor Neurologic Outcome Study Participant Patients Peripheral Phenotype Protocols documentation Psychophysics Questionnaires Research Research Activity Research Personnel Resource Sharing Risk Factors San Francisco Severities Site Spastic Dysphonias Speech Speech Acoustics Standardization Symptoms Testing Treatment outcome Tremor Universities Utah Voice analytical tool base clinical database clinical phenotype cohort computerized data processing data acquisition data anonymization data harmonization data repository data sharing data standards data submission data tools diagnostic biomarker investigator training kinematics machine learning algorithm multimodality neuroimaging neuropsychiatry next generation prediction algorithm recruit repository respiratory screening tool

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项目摘要

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.

项目摘要 /摘要下一代临床研究和数据科学核心将由DRS共同领导。 Simonyan， Nagarajan和Barkmeier-Kraemer。核心将监视所有中心站点的临床和研究活动，包括马萨诸塞州的马萨诸塞州和耳朵医务室（MEEI），马萨诸塞州综合医院（MGH），大学犹他州（UOFU）和加利福尼亚大学旧金山大学（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存储库配音震颤以及这些数据用于开发和测试机器学习算法的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）研究数据存储库和（3）预测数据分析。核心的意义是在开发和实施标准化的数据收集和分析工具时，它们可获得所有人项目和相关研究人员。此外，数据分析基于不同的数据项目和中心地点将促进统一诊断和治疗生物标志物的开发这些疾病中的每一个。