Core 06: Biomedical Informatics Core

核心06：生物医学信息学核心

• 批准号: 10667109
• 负责人: Lucio Miele
• 金额: $ 27.69万
• 依托单位: LSU PENNINGTON BIOMEDICAL RESEARCH CTR
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-15 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10667109
• 关键词: 2019-nCoV; Academic Medical Centers; Address; Alabama; All of Us Research Program; Applications Grants; Artificial Intelligence; Award; Awareness; Bioinformatics; Biomedical Research; COVID-19; COVID-19 pandemic; Center for Translational Science Activities; Centers of Research Excellence; Clinic; Clinical; Clinical Data; Clinical Research; Clinical Sciences; Code; Collaborations; Communities; Correlation Studies; Data; Data Science; Data Scientist; Development; Drug Exposure; Funding; Geography; Goals; Grant; Health; Health Disparities Research; High-Throughput Nucleotide Sequencing; Hospitals; Human Resources; Informatics; Infrastructure; Institution; Louisiana; Machine Learning; Master of Science; Measures; Medical; Mentorship; Mission; National Institute on Minority Health and Health Disparities; Obesity; Oncology; Outcome; Pilot Projects; Play; Population; Prevalence; Publications; Research; Research Design; Research Personnel; Resolution; Resources; Role; SARS-CoV-2 antibody; SARS-CoV-2 variant; Seroprevalences; Services; Staging; Testing; Training; Translational Research; United States National Institutes of Health; Universities; Variant; Vertebral column; Viral; Virus; biobank; biomedical informatics; career development; citizen science; clinical center; clinical database; cohort; data enclave; data infrastructure; data pipeline; data resource; data sharing; epidemiology study; health disparity; improved; informatics infrastructure; inter-institutional; machine learning algorithm; multidisciplinary; next generation; programs; response; rurality; social deprivation; transcriptomics; translational pipeline; triple-negative invasive breast carcinoma; virtual

Project Summary: Biomedical Informatics Core The overall goal of the Biomedical Informatics (BMI) Core of the Louisiana Clinical and Translational Science Center (LA CaTS) is to build on our accomplishments and continue to develop and deploy “state of the art” informatics services to LA CaTS investigators. During the current funding period, the BMI Core provided significant support to 27 LA CaTS Investigators across 14 institutions, resulting in 46 publications and 18 funded grant applications. The BMI Core constructed 12 “virtual cohorts”, which were used in 30 projects leading to 3 major NCI grant awards. We created the data infrastructure for 3 “virtual biorepositories” and provided the informatics backbone for the participation of LA CaTS in the NIH “All of Us” research program and the National COVID-19 Cohort Collaboration (N3C). The BMI Core contributed to the LA CaTS response to the COVID-19 pandemic in multiple ways: 1) Supported 2 multi-CTR N3C projects exploring the relationship of drug exposures and rurality with COVID-19 outcomes; 2) Provided the informatics infrastructure for 2 epidemiological studies of SARS-CoV-2 seroprevalence and virus testing; and 3) Supported 3 projects on SARS-CoV-2 variant sequencing in Louisiana. The BMI Core also supported the COBRE Center for Translational Viral Oncology and served an invaluable role in the close collaboration between LA CaTS and the University of Alabama at Birmingham (UAB)- led Center for Clinical and Translational Sciences (CCTS), as well as the UAB-led, NIMHD-funded Obesity and Health Disparity Research Center. Our commitment to building a diverse pipeline of translational data scientists led to a) the first Master of Science program in Bioinformatics in Louisiana, and b) the expansion of Core personnel to include 3 early-stage investigators. During the next funding period, the BMI Core will expand its mission to include integrative clinical and bioinformatics, machine learning/artificial intelligence, access to national and regional clinical databases, individualized mentorship, didactics, as well as community stakeholder and citizen scientist support. In cycle 3 we will pursue three important specific aims. Aim 1. Provide training and enhance utilization of high-resolution bioinformatics and artificial intelligence/machine learning algorithms. Aim 2. Expand our existing support for collaboration and data sharing within LA CaTS Cores and between LA CaTS investigators and CTSA Centers, as well as with Centers of Biomedical Research Excellence (COBRE) and the Louisiana Biomedical Research Network (LBRN) by broadening the geographic scope and population coverage of data resources available to LA CaTS investigators. Aim 3. Expand our educational mission, in close cooperation with the Professional Development (PD) Core, to create a pipeline of translational data scientists with emphasis on diversity and to enable and support data research by citizen scientists and community stakeholders. We expect that the accomplishment of these Aims will produce a cutting edge, multidisciplinary BMI Core that forms the data science backbone of the LA CaTS Center and enables local, regional, and national collaborations, while enhancing our data scientist pipeline and public awareness. The BMI Core will give a vital contribution to the Center’s mission to transform clinical and translational research in Louisiana and alleviate health disparities.

项目摘要：生物医学信息学核心 路易斯安那临床和转化科学生物医学信息学 (BMI) 核心的总体目标 中心 (LA CatS) 将在我们的成就的基础上继续开发和部署“最先进的技术” 在当前资助期间，BMI Core 向 LA CatTS 调查人员提供了信息学服务。 为 14 个机构的 27 名 LA CatS 调查员提供了大力支持，发表了 46 篇出版物并获得了 18 项资助 BMI Core 构建了 12 个“虚拟队列”，用于 30 个项目，最终产生了 3 个项目。 我们为 3 个“虚拟生物样本库”创建了数据基础设施，并提供了 LA CatTS 参与 NIH“我们所有人”研究计划和国家研究计划的信息学骨干 COVID-19 队列协作 (N3C) BMI Core 为 LA CaTS 应对 COVID-19 做出了贡献。 多方面应对疫情：1）支持2个多CTR N3C项目，探索药物暴露的关系 和农村地区的 COVID-19 结果；2) 为 2 项流行病学研究提供信息学基础设施； SARS-CoV-2 血清流行率和病毒检测；3) 支持 3 个 SARS-CoV-2 变异测序项目； BMI Core 还支持 COBRE 转化病毒肿瘤学中心并为 LA CaTS 与阿拉巴马大学伯明翰分校 (UAB) 之间的密切合作发挥了宝贵的作用 - 领导的临床和转化科学中心 (CCTS)，以及 UAB 领导、NIMHD 资助的肥胖和 健康差异研究中心。我们致力于建立多元化的转化数据科学家队伍。 导致了 a) 路易斯安那州第一个生物信息学理学硕士项目，以及 b) 核心项目的扩展 BMI 核心将扩大其人员规模，包括 3 名早期研究人员。 使命包括综合临床和生物信息学、机器学习/人工智能、获取 国家和地区临床数据库、个性化指导、教学法以及社区利益相关者 在第三周期中，我们将追求三个重要的具体目标：提供培训和支持。 提高高分辨率生物信息学和人工智能/机器学习算法的利用率。 2. 扩大我们对 LA CatTS 核心内部以及 LA CatTS 之间协作和数据共享的现有支持 研究人员和 CTSA 中心以及生物医学研究卓越中心 (COBRE) 和 路易斯安那生物医学研究网络（LBRN）通过扩大地理范围和人口覆盖范围 目标 3. 密切扩大我们的教育使命。 与专业发展（PD）核心合作，创建转化数据科学家的管道 强调多样性，并支持公民科学家和社区的数据研究 我们期望这些目标的实现将产生尖端的、多学科的成果。 BMI Core 构成了 LA CatS 中心的数据科学支柱，使地方、区域和国家能够 合作，同时增强我们的数据科学家渠道和公众意识，BMI 核心将发挥至关重要的作用。 对该中心的使命做出贡献，即改变路易斯安那州的临床和转化研究和救济 健康差异。