Nutrition for Precision Health, powered by the All of Us Research Program: Research Coordinating Center

联系PD/PI：Gantz，Marie G. 项目摘要/摘要 来自建议书： RTI国际康奈尔研究协调中心(RCC)的首要目标是 为凝聚共识提供无缝的运营支持和多学科经验 在精准健康营养联盟(NPHC)。在一年规划阶段，我们将 优先考虑效率和客观性，以促进饮食模块的设计(1：日常饮食 评估；2：控制喂养饮食干预；3：家庭饮食干预) 嵌套在我们所有人和他们的研究方案中。在4年的实施阶段，我们将 促进模块1-3的实施，使质量数据和样本能够流动 并将经过管理的、支持人工智能(AI)的数据集成到我们所有人中 研究员工作台，使用我们建立的数据协调流程和系统。 我们方法的创新包括在难以到达的地方进行饮食研究的工具 人群、具体(或受试者作为自身对照)临床试验和可穿戴设备研究工具 和分析。具体地说，拟议的农村信用社将在管理和协调方面表现出色 NPHC及其研究举措、临床干预措施以及数据和生物制品共享，如 以下是： 目标1：优化模块1-3的科学严谨性 目标2：确保NPHC研究数据是公平的(可查找、可访问、可互操作 可重复使用) 目标3：实现无缝数据收集、管理和传输，包括传输给研究人员 工作台 目标4：最大限度地缩短模块1-3的启动时间 目标5：最大限度地提高联合体沟通和协作的效率 启动NPHC是为了解决营养方面的主要研究差距；这些差距的性质 NPHC活动的复杂性怎么强调都不为过。RCC将由以下人员领导 多名首席调查员，在协调中心和 多站点领导力和生物统计学(RTI的甘茨博士)以及营养干预和临床 专业知识(康奈尔大学的梅塔博士)在一个强大和多样化的团队的支持下， 围绕设计和分析、数据处理和系统以及研究的核心进行组织 实施。其他关键组成部分包括单一的IRB和医疗安全监测。这个 RCC还将受益于我们的集体机构优势，拥有广泛的- 与NPHC相关的一系列研究和临床背景(例如，组学、生物信息学、 AI、临床试验干预、营养评估)。建议的RCC是立即和 充分准备支持NPHC开发具有临床意义的算法的使命 预测个体对食物和饮食模式的反应，并改善整个健康 多元化的美国人口。 项目摘要

Contact PD/PI: GANTZ, Marie G. PROJECT SUMMARY/ABSTRACT From Proposal: The overarching goal of the RTI International–Cornell Research Coordinating Center (RCC) is to provide seamless operational support and multidisciplinary experience for building consensus in the Nutrition for Precision Health Consortium (NPHC). In the 1-year planning phase, we will prioritize efficiency and objectivity in facilitating the design of diet modules (1: usual dietary assessment; 2: controlled feeding dietary intervention; and 3: domiciled dietary intervention) nested in All of Us and their research protocols. In the 4-year implementation phase, we will facilitate the implementation of Modules 1–3, enable the flow of quality data and specimens across the NPHC, and integrate curated, Artificial intelligence (AI)–ready data into the All of Us Researcher Workbench, using our established data coordination processes and systems. Innovations in our approach include tools for conducting dietary studies in hard-to-reach populations, idiographic (or subject-as-own-control) clinical trials, and wearables research tools and analytics. Specifically, the proposed RCC will excel in administrating and coordinating NPHC and its research initiatives, clinical interventions, and data and biospecimen sharing, as follows: Aim 1: Optimize the scientific rigor of Modules 1–3 Aim 2: Ensure NPHC study data are FAIR (Findable, Accessible, Interoperable, and Reusable) Aim 3: Enable seamless data collection, curation, and transfer including to the Researcher Workbench Aim 4: Minimize time to launch of Modules 1–3 Aim 5: Maximize the efficiency of consortium communications and collaborations NPHC is being launched to address major research gaps in nutrition; the nature of these gaps and the complexity of the NPHC activities cannot be underscored enough. RCC will be led by Multiple Principal Investigators with complementary expertise in coordinating center and multisite leadership and biostatistics (Dr. Gantz at RTI) and nutritional intervention and clinical expertise (Dr. Mehta at Cornell University) with the support of a strong and diverse team, organized around cores for Design and Analytics, Data Curation and Systems, and Study Implementation. Other key components include single IRB and medical safety monitoring. The RCC will also benefit from our collective institutional strengths, with an expert pool of wide- ranging research and clinical backgrounds pertinent to the NPHC (e.g., omics, bioinformatics, AI, clinical trial intervention, nutritional assessment). The proposed RCC is immediately and amply prepared to support to NPHC in its mission to develop clinically meaningful algorithms that predict individual responses to food and dietary patterns and to improve health across diverse U.S. populations. Project Abstract