MRI: Acquisition of HPC-B: A High Performance Computational Infrastructure for Biomedical Informatics Research

MRI：收购 HPC-B：用于生物医学信息学研究的高性能计算基础设施

• 批准号: 1229213
• 负责人: Joseph Kizza
• 金额: $ 30.55万
• 依托单位: University of Tennessee Chattanooga
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1229213&HistoricalAwards=false
• 关键词: MRI; Acquisition; HPC; Performance; Computational

Proposal #: 12-29213PI(s): Cao, Yu; Kizza, Joseph M; Li, Ming; Tanis, Craig;Institution: University of Tennessee ChattanoogaTitle: MRI: Acquisition of HPC-B: A High Performance Computational Infrastructure for Biomedical Informatics ResearchProject Proposed:This project, from an EPSCoR state and a non-PhD granting institution, acquiring a high performance computational infrastructure to be located at U. of Tennessee, Chattanooga (UTC), aims to support, as a shared facility, five research projects involving ten investigators and 18 students (9 UG, 6 MSc and 3PhD). The proposed projects explore three requirements for a viable, productive and usable health information technology. The project addresses the need to- Retrieve relevant information from biomedical data, with accuracy and security; - Analyze the data; and - Disseminate and share the data. Biomedical records hold enormous amounts of multimodal data. Thus, the research efforts described focus on actions needed to make this data available (complete, secure, and reliable). The proposed research questions are organized into three main thrust areas: How to- Discover clinically and biomedically important knowledge from complex biomedical multimedia data; - Evaluate and improve the quality and safety of health care by analyzing the large amount of clinical data; and- Facilitate the biomedical information collection, management, exchange, and analysis with large-scale network computing platforms and telemedicine systems. The computational infrastructure is expected to serve as an essential shared research instrument, allowing researchers to analyze, design, develop, test, and deploy large-scale and distributed computer algorithms to address a variety of computationally-intensive and data-intensive biomedical informatics research challenges.Broader Impacts: Due to a large potential number of users, its convincing educational plan, outreach plan, as well as expected scientific discoveries in a very important area for every society: health care, this work exhibits potential for strong broader impacts. The programs to enrich broader impact aspects will not only be felt locally, but also internationally, and help to ensure that the country maintains leadership and innovation within the addressed research domains.

提案编号：12-29213PI(s)：曹宇；基扎，约瑟夫·M；李明; Tanis, Craig；机构：田纳西州查塔努加大学 标题：MRI：收购 HPC-B：用于生物医学信息学研究的高性能计算基础设施 项目建议：该项目由 EPSCoR 州和非博士学位授予机构收购，旨在收购位于田纳西州查塔努加大学 (UTC) 的高性能计算基础设施 作为共享设施，支持五个研究项目，涉及 10 名研究人员和 18 名学生（9 名本科生、6 名硕士和 3 名博士）。拟议的项目探讨了可行、高效和可用的卫生信息技术的三个要求。 该项目解决了以下需求： 从生物医学数据中准确、安全地检索相关信息； - 分析数据； - 传播和共享数据。生物医学记录保存着大量的多模式数据。因此，所描述的研究工作重点是使这些数据可用（完整、安全和可靠）所需的行动。提出的研究问题分为三个主要领域：如何从复杂的生物医学多媒体数据中发现临床和生物医学重要的知识； - 通过分析大量临床数据，评估和提高医疗质量和安全性； - 利用大型网络计算平台和远程医疗系统促进生物医学信息收集、管理、交换和分析。计算基础设施预计将作为一种重要的共享研究工具，使研究人员能够分析、设计、开发、测试和部署大规模分布式计算机算法，以解决各种计算密集型和数据密集型生物医学信息学研究挑战。 更广泛的影响：由于潜在用户数量巨大，其令人信服的教育计划、推广计划以及在每个人都非常重要的领域中预期的科学发现 社会：医疗保健，这项工作展现出了产生更广泛影响的潜力。丰富更广泛影响方面的计划不仅会在当地产生影响，而且会在国际上产生影响，并有助于确保该国在所涉及的研究领域保持领导地位和创新。