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Core 06: Biomedical Informatics Core

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
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
未结题
起止时间:
2012-08-15 至 2027-06-30

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项目成果

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中文摘要
翻译
项目总结:生物医学信息学核心 路易斯安那州临床与翻译科学生物医学信息学(BMI)核心的总体目标 中心(LA CATS)是在我们所取得的成就的基础上,继续开发和部署“最先进的” 为洛杉矶猫科动物调查员提供信息学服务。在本供资期间,BMI核心项目提供了 向14个机构的27名LA CATS调查员提供重大支持,出版了46份出版物,资助了18份 批准申请。BMI核心构建了12个“虚拟队列”,它们在30个项目中使用,导致3个 NCI颁发的主要奖项。我们为3个“虚拟生物仓库”创建了数据基础设施,并提供了 洛杉矶CATS参加美国国立卫生研究院“我们所有人”研究计划的信息学骨干 新冠肺炎队列协作(N3C)。体重指数核心推动洛杉矶猫科动物对新冠肺炎的回应 以多种方式传播流行病:1)支持2个多CTR N3C项目,探讨药物暴露之间的关系 和农村与新冠肺炎的结果;2)为2个流行病学研究提供了信息学基础设施 SARS-CoV-2血清阳性和病毒检测;以及3)支持3个SARS-CoV-2变种测序项目 在路易斯安那州。BMI Core还支持科布雷翻译病毒肿瘤学中心,并为 在洛杉矶CATS和阿拉巴马大学伯明翰分校(UAB)的密切合作中发挥了宝贵的作用- Led临床和翻译科学中心(CCTS),以及UAB领导、NIMHD资助的肥胖和 健康差距研究中心。我们致力于建立多样化的翻译数据科学家渠道 导致了a)路易斯安那州第一个生物信息学硕士项目,以及b)Core的扩展 人员包括3名早期调查人员。在下一个资金期,BMI核心将扩大其 任务包括综合临床和生物信息学、机器学习/人工智能、访问 国家和地区临床数据库、个性化指导、教学以及社区利益相关者 以及公民科学家的支持。在第三周期中,我们将追求三个重要的具体目标。目标1.提供培训和 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。目标 2.扩展我们对LA CATS核心内部和LA CATS之间的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 路易斯安那州生物医学研究网络(LBRN)通过扩大地理范围和人口覆盖面 洛杉矶猫科动物研究人员可用的数据资源。目标3.扩大我们的教育使命,近距离 与专业发展(PD)核心合作,创建翻译数据科学家的渠道 强调多样性,支持和支持公民科学家和社区的数据研究 利益相关者。我们期望这些目标的实现将产生一种尖端的、多学科的 BMI核心,构成洛杉矶CATS中心的数据科学骨干,支持地方、地区和国家 合作,同时提高我们的数据科学家渠道和公众意识。BMI核心将提供至关重要的 对该中心转变路易斯安那州临床和转化性研究并缓解 健康差距。
英文摘要
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.
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Understanding and Addressing Cancer Health Disparities in Louisiana
  • 批准号:
    9894562
  • 项目类别:
  • 资助金额:
    $2.5万
  • 财政年份:
    2019
  • 负责人:
    Lucio Miele
  • 依托单位:
Understanding and Addressing Cancer Health Disparities in Louisiana
  • 批准号:
    10005206
  • 项目类别:
  • 资助金额:
    $96.85万
  • 财政年份:
    2018
  • 负责人:
    Lucio Miele
  • 依托单位:
Project 1-Immunogenomic diversity in triple negative breast cancer health disparities
  • 批准号:
    10005253
  • 项目类别:
  • 资助金额:
    $22.29万
  • 财政年份:
    2018
  • 负责人:
    Lucio Miele
  • 依托单位:
Understanding and Addressing Cancer Health Disparities in Louisiana
  • 批准号:
    9630120
  • 项目类别:
  • 资助金额:
    $97.61万
  • 财政年份:
    2018
  • 负责人:
    Lucio Miele
  • 依托单位:
海外基金