Clinical Translation Core

临床翻译核心

基本信息

批准号：
10454192
负责人：
Andrea Lynne Gropman
金额：
$ 14.72万
依托单位：
CHILDREN'S RESEARCH INSTITUTE
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：
2021-07-21 至 2026-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10454192
关键词：
Area Bioinformatics Biological Assay Biometry COVID-19 pandemic Cells Characteristics Child Clinical Clinical Research Clinical Trials Clinical and Translational Science Awards Cognitive deficits Collaborations Communities Companions Consultations Country Data Data Sources Development Diagnosis Dimensions Disease Disease Progression District of Columbia E-learning Epidemiology Evaluation Future Genetic Variation Genomics Genotype Goals Health Technology Healthcare Hospitals Human Incubators Individual Informatics Infrastructure Intellectual and Developmental Disabilities Research Centers Intellectual functioning disability Intervention Studies Knowledge Machine Learning Managed Care Mentors Methods Microscopy National Center for Advancing Translational Sciences Neuropsychology Nursing Faculty Observational Study Online Systems Patient Recruitments Performance Phenotype Population Heterogeneity Practice Guidelines Process Publications Rare Diseases Registries Reporting Research Research Design Research Personnel Resources Sampling Studies Science Sensory Services Special Education Structure Technology Transfer Testing Tissues Training Translational Research Translations Vulnerable Populations Washington Work animal imaging autism spectrum disorder bench-to-bedside translation biobank biomarker development clinical practice clinical translation commercialization complex data cost effective data lake data mining data warehouse design digital digital health ethnic diversity experience human imaging innovation interest motor deficit neurobehavioral neuroimaging open data patient advocacy group phenomics programs racial diversity recruit research study response skills social media telehealth text searching tool web site

项目摘要

Project Summary The overall goal of the Clinical Translational Core (CTC) is to efficiently and effectively move basic and applied intellectual and developmental disability research (IDDR) findings into human clinical studies and ultimately clinical practice. The CTC is designed to serve as a “one-stop- shop” for IDD investigators, providing assistance and services either directly or in collaboration with other institutional resources (especially the Clinical and Translational Science Award (CTSA) program) at each stage of the clinical and translational research (CTR) spectrum at CNH, GW, GU and HU. This includes deep phenotyping, recruitment, performance, analysis, implementation, commercialization and dissemination. The proposed CTC will be coordinated by an administrative structure that is cost effective and provides specific infrastructure supports for DC-IDDR investigators and their teams. The direct functions of the CTC will include: 1) data mining of large real-world evidence data sources (informatics); 2) patient recruitment and study performance across multiple venues; 3) consultative support in biostatistics/informatics for planning, designing, and analyzing IDDR studies; 4) connection and collaboration with other IDDRC cores for deep phenotyping/genotyping and bio banking, and 5) training and dissemination through a web based investigator toolkit. The specific aims are: 1) To build a phenomics framework with a digital platform that integrates clinical and 'omics' data and a companion biorepository; 2) To employ a multi-dimensional strategy to enhance participant recruitment and study implementation/performance; 3) To provide IDDR-relevant study design, biostatistical and informatics support; and 4)To develop an IDDR investigator toolkit.

项目摘要临床翻译核心（CTC）的总体目标是有效地移动基本和应用的智力和发展残疾研究（IDDR）发现人类临床研究，最终是临床实践。 CTC旨在用作“一站式为IDD调查人员购物，直接或合作提供帮助和服务与其他机构资源（尤其是临床和转化科学奖（CTSA）程序）在临床和翻译研究（CTR）频谱的每个阶段 CNH，GW，GU和HU。这包括深度表型，招聘，绩效，分析，实施，商业化和传播。拟议的CTC将协调通过具有成本效益并提供特定基础架构支持的行政结构 DC-IDDR调查人员及其团队。 CTC的直接功能将包括：1）数据挖掘大型现实世界证据数据源（信息学）； 2）患者招募和学习多个场所的性能； 3）生物统计学/信息学的协商支持计划，设计和分析IDDR研究； 4）与其他用于深度表型/基因分型和生物银行的IDDRC核心，以及5）培训和通过基于Web的研究者工具包进行传播。具体目的是：1）建造一个现象学框架与数字平台，该框架整合了临床和“ OMIC”数据以及伴侣生物座席； 2）雇用多维策略来增强参与招聘和研究实施/绩效； 3）提供与IDDR相关的研究设计，生物统计和信息支持； 4）开发IDDR调查员工具包。