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

提案编号：12- 29213 PI（s）：Cao，Yu; Kizza，Joseph M; Li，Ming; Tanis，克雷格;机构：田纳西大学查塔努加标题： MRI：收购HPC-B：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，从EPSCoR国家和非博士授予机构，获得一个高性能的计算基础设施，位于美国。田纳西州，查塔努加（UTC），旨在支持，作为一个共享的设施，涉及10名研究人员和18名学生（9个UG，6个硕士和3个博士）的五个研究项目。拟议的项目探讨了可行的、生产性的和可用的卫生信息技术的三项要求。 该项目解决了以下需要：-准确和安全地从生物医学数据中提取相关信息; -分析数据;以及-传播和分享数据。生物医学记录包含大量的多模态数据。因此，所描述的研究工作集中在使这些数据可用（完整，安全和可靠）所需的行动上。建议的研究问题被组织成三个主要的推力领域：如何-发现临床和生物医学重要的知识，从复杂的生物医学多媒体数据; -评估和提高医疗保健的质量和安全性，通过分析大量的临床数据;和-促进生物医学信息的收集，管理，交流和分析与大型网络计算平台和远程医疗系统。计算基础设施有望成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，以应对各种计算密集型和数据密集型生物医学信息学研究挑战。由于大量的潜在用户，其令人信服的教育计划，推广计划，以及预期的科学发现在一个非常重要的领域为每个社会：在卫生保健方面，这项工作显示出产生更广泛影响的潜力。丰富更广泛的影响方面的计划不仅会在当地感受到，而且会在国际上感受到，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。

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.