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中文摘要
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摘要-生物医学信息学和网络基础设施增强 在临床和转化研究的成功计划的关键要素包括基于网络的 通信和协调,研究数据积累和管理,安全和隐私敏感 存储与索引检索,强大的计算和分析工具,专家生物信息学和 计算顾问和合作者,访问全州电子医疗和健康记录,沿着 快速有效地传播信息。这些构成了我们对拟议中心的设想的基础 对于拟议的罗得岛中心的有效运作至关重要的生物医学信息学 临床和转化科学(RI-CCTS)。生物医学信息学中心将提供 参与机构内生物医学信息学专业知识的领导、组织和整合 并在临床和实验室之间建立至关重要的结构和功能生物医学信息联系。 基础科学研究者该中心将提供关于新的实施和应用的指导, 开展基于人口的流行病学研究的当代资源和工具, 临床调查和挖掘新的患者数据库。它将支持需要使用 “大数据”方法将新的“组学”平台的输出与我们的独特患者队列相结合, 附属医院网络。我们的目标是实现高性能计算的广泛应用, 网络基础设施,最有效地利用我们独特的人口资源,目的是 使我们的当地人口受益,并解决罗得岛和其他IDEA地区的健康差距问题 辖区这个多机构中心将创造和支持专业发展的机会, 来自广泛学科的研究人员学习生物医学信息学。这将有助于调查人员 了解并与自己或不同机构的同事建立合作关系, 他们探索新的和更强大的计算方法的临床和转化研究。的 生物医学信息学中心还将使人们能够广泛接触大型临床和转化研究 通过IDEA-CTR联盟支持的网络。最后,该中心将利用当代, 计算机化资源,以跟踪和评估RI-CCTS中有限的宝贵资源的使用情况 网络为了实现这些目标,具体目标是:1)创建一个可持续的,以团队为基础的,多学科的 生物医学信息学中心提供有效协作所需的网络基础设施 临床和转化研究,同时利用所有现有的电子资源。2)促进和 通过研讨会和其他活动,促进生物医学信息学的专业发展, 还有助于增强罗得岛内部和整个IDEA网络的协作互动。3)使用 跟踪和评估RI-CCTS网络资源使用情况的现代网络工具。
英文摘要
ABSTRACT – BIOMEDICAL INFORMATICS AND CYBERINFRASTRUCTURE ENHANCEMENT The key elements of a successful program in clinical and translational research include web-based communication and coordination, research data accumulation and management, secure and privacy-sensitive storage with indexed retrieval, robust computational and analytical tools, expert bioinformatics and computational consultants and collaborators, access to statewide electronic medical and health records, along with rapid and effective dissemination of information. These form the basis of our vision for a proposed Center for Biomedical Informatics that would be critical for the effective operation of the proposed Rhode Island Center for Clinical and Translational Sciences (RI-CCTS). The proposed Center for Biomedical Informatics will provide leadership, organization and integration of biomedical informatics expertise within the participating institutions and create critically important structural and functional biomedical informatic linkages between clinical and basic science investigators. The Center will provide instruction on the implementation and application of new contemporary resources and tools for carrying out population based epidemiological studies, generating clinical surveys and mining new patient databases. It will support research strategies that require the use of “big data” approaches to integrate output from new “omics” platforms with the distinctive patient cohorts in our affiliated hospital network. Our goal is to enable the broad application of high performance computing and cyberinfrastructure in the most effective utilization of our unique population based resources with the aim of benefitting our local population and addressing issues of health disparity in Rhode Island and other IDeA jurisdictions. This multi-institutional Center will create and support professional development opportunities for investigators from wide-ranging disciplines to learn about biomedical informatics. It will facilitate investigators learning about and establishing collaborations with colleagues at their own or different institutions, allowing them to explore new and more powerful computational approaches to clinical and translational research. The Center for Biomedical Informatics will also enable broad access to the large clinical and translational research networks supported through the IDeA-CTR consortium. Lastly, the Center will harness contemporary, computerized resources to track and evaluate the use of limited valuable resources across the RI-CCTS network. To achieve these goals, the Specific Aims are: 1) Create a sustainable, team-based, multidisciplinary Center for Biomedical Informatics to provide the cyberinfrastructure needed to enable effective collaborative clinical and translational research while leveraging all available existing electronic resources. 2) Promote and advance professional development in biomedical informatics through workshops and other activities that will also serve to enhance collaborative interactions within Rhode Island and across the IDeA network. 3) Use contemporary, web-based tools to track and evaluate the use of resources across the RI-CCTS network.
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会议论文
New Paths for Biomedical Informatics: A Mini-Symposium for High School Scholars
Enhancing Organism Based Disease Knowledge Via Name Based Taxonomic Intelligence
  • 批准号:
    7691697
  • 项目类别:
  • 资助金额:
    $34.43万
  • 财政年份:
    2008
  • 负责人:
    INDRA N SARKAR
  • 依托单位:
Enhancing Organism Based Disease Knowledge Via Name Based Taxonomic Intelligence
  • 批准号:
    7939675
  • 项目类别:
  • 资助金额:
    $33.97万
  • 财政年份:
    2008
  • 负责人:
    INDRA N SARKAR
  • 依托单位:
海外基金