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

项目编号：12-29213PI(s): Cao, Yu；Joseph M . Kizza；李,明;坦尼斯,克雷格;项目建议：该项目来自EPSCoR州和非博士授予机构，在田纳西大学查塔努加分校（UTC）获得高性能计算基础设施，旨在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、有效和可用的卫生信息技术的三个要求。该项目满足以下需求：从生物医学数据中检索相关信息，并保证准确性和安全性；-分析数据；和-传播和共享数据。生物医学记录包含大量的多模式数据。因此，所描述的研究工作侧重于使这些数据可用（完整、安全和可靠）所需的操作。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上重要的知识；-通过分析大量临床数据，评估和改善医疗保健的质量和安全；——利用大型网络计算平台和远程医疗系统，促进生物医学信息的收集、管理、交换和分析。计算基础设施有望成为必不可少的共享研究工具，允许研究人员分析、设计、开发、测试和部署大规模和分布式计算机算法，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：由于潜在的大量用户，其令人信服的教育计划，推广计划，以及在每个社会非常重要的领域的预期科学发现：卫生保健，这项工作显示出强大的更广泛影响的潜力。这些项目丰富了更广泛的影响方面，不仅在当地，而且在国际上都能感受到，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.