The UCSD Microbiome and Metagenomics Center (Summit Supplement)

加州大学圣地亚哥分校微生物组和宏基因组学中心（峰会增刊）

• 批准号: 10862100
• 负责人: Jack Anthony Gilbert
• 金额: $ 8.69万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-07 至 2023-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10862100
• 关键词: Administrative Supplement; Artificial Intelligence; Beverages; Big Data; Biological Assay; Clinical; Collaborations; Communication; Complex; Computer software; Data; Data Analyses; Data Engineering; Data Scientist; Data Sources; Databases; Destinations; Educational workshop; Event; Exposure to; Fostering; Funding; Future; Geography; Goals; Health; Institution; Investigation; Learning; Machine Learning; Metagenomics; Mission; Modeling; National Institute of Diabetes and Digestive and Kidney Diseases; Participant; Persons; Precision Health; Quality of life; Research; Research Personnel; Resources; Site; Training; Transportation; United States National Institutes of Health; Visual; Work; clinical center; data analysis pipeline; data repository; early-career faculty; experience; health data; improved; innovation; interest; lens; metabolomics; microbiome; microbiome analysis; multimodal data; novel; nutrition; precision nutrition; repository; secondary analysis; skills; success; symposium; synergism; tool

PROJECT SUMMARY In the first gathering of quantitative researchers in the Nutrition and Precision Health Consortium, the primary goal will be to provide a hands-on training experience working with NPH-like data and the All of Us Researcher Workbench platform. A secondary and parallel goal is to continue to encourage and facilitate new, innovative and collaborative research within and between NPH Centers. We will also demonstrate West Point AI, Data Engineering, and Machine Learning NPH-like data repository and workshop participants will be able to conduct search queries of the data repository, develop baseline scripts in Jupyter notebooks to interrogate the data and set up novel research questions to eventually work with NPH data housed in the All of Us Researcher Workbench. A major strength of the AI Summit is that they allow for data analysis based activities that facilitate communication and exchanges of ideas between leading AI and machine learning data scientists in the field, clinical center statisticians and early career faculty that want to develop Precision Nutrition Big Data analysis skills. Such interactions and synergism are critical for initial analysis of the rich data sources arising from the NPH and All of Us Research Hub. The AI Summit will provide a unique and exciting venue for NPH investigators to cross pollinate between the 17 different geographically diverse institutions and lead to a future filled with new and innovative collaborative projects in the Precision Nutrition.

项目概要 在营养与精准健康联盟定量研究人员的第一次聚会中，主要参与者 目标是提供使用类似 NPH 的数据和 All of Us 研究人员的实践培训经验 工作台平台。第二个并行目标是继续鼓励和促进新的、创新的 NPH 中心内部和之间的合作研究。我们还将展示西点军校AI、数据 工程和机器学习类似 NPH 的数据存储库和研讨会参与者将能够进行 搜索数据存储库的查询，在 Jupyter 笔记本中开发基线脚本来查询数据并 提出新的研究问题，最终使用 All of Us Researcher 中保存的 NPH 数据 工作台。人工智能峰会的一个主要优势是它们允许基于数据分析的活动，促进 该领域领先的人工智能和机器学习数据科学家之间的沟通和思想交流， 希望开发精准营养大数据分析的临床中心统计学家和早期职业教师 技能。这种相互作用和协同作用对于对来自数据源的丰富数据源进行初步分析至关重要。 NPH 和我们所有人研究中心。人工智能峰会将为 NPH 调查人员提供一个独特且令人兴奋的场所 在 17 个不同地域的机构之间进行交叉授粉，创造一个充满新事物的未来 以及精准营养领域的创新合作项目。