MEDICAL INFORMATICS NETWORK-A DISTRIBUTED COMPUTING FACI

医学信息网络-分布式计算FACI

• 批准号: 2283220
• 负责人: NICHOLAS DE CLARIS
• 金额: $ 38.3万
• 依托单位: UNIVERSITY OF MARYLAND BALTIMORE
• 依托单位国家: 美国
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-02-05 至 1995-05-04
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2283220
• 关键词: artificial intelligence; biomedical equipment purchase; computer assisted medical decision making; computer center; computer data analysis; computer system design /evaluation; information systems; online computer

At the Medical School of the University of Maryland, there is a large number (19), of Public Health Service research projects whose investigators depend very heavily on the latest computing methodologies to meet their research goals. Specifically, the group consists of ten research projects currently funded by NIH for a total of $13,342,670; the remaining nine are under review and pending PHS support for a total of $10,862,613. Rapid advances in computing technology have resulted in the availability of powerful research tools that can dramatically increase research productivity in these projects and open up entirely new avenues of investigation not previously possible. Neither the University nor each individual research project can independently cope with the financial responsibility of the new generation of computing (networked workstations). To correct this major shortcoming, new hardware-software configurations are required whose cost can only be justified on a shared-use basis. Twenty-one senior research investigators from the Departments of Epidemiology and Preventive Medicine, Physiology, Pathology, and Surgery directing and/or participating in these research efforts, in collaboration with four computer senior faculty from the Engineering College of the University of Maryland College Park Campus evaluated the needs, examined alternatives, and selected the most cost-effective solution. The result is this application to purchase commercially available computer hardware and software to implement a shared-computing system via a Medical Informatics Network that makes possible workstation-based distributed processing. The total cost of the equipment is $383,254. No research and development is needed and no such funds are requested. This proposed shared computing plan is highly innovative and will increase research productivity many- fold. Major features include: 1) meeting all current and planned project research needs by providing powerful new methodologies for data analysis and presentation, mathematical computation, artificial intelligence, and high speed communication; 2) allowing maximum resource sharing among all investigators while, at the same time, giving each major user the greatest possible flexibility; 3) serving a wide segment of biomedical investigators while providing maximum security for preservation of patient data confidentially; and 4) utilizing open architecture which, under the committed technical guidance of computer experts, ensures maximum cutting- edge longevity at economical cost for technological updating. The application also includes an organizational structure, a grant administration plan, and institutional and Principal Investigator commitments or continued maintenance and support. The overall aim is to achieve a shared medical informatics resource which will serve Public Health Service research projects in this school for the longest length of time and to maximum capability made possible by the ongoing advances in computer technology.

马里兰大学医学院有一个大型的 数量 (19) 的公共卫生服务研究项目，其研究人员 非常依赖最新的计算方法来满足他们的需求 研究目标。 具体来说，该小组由十个研究项目组成 目前由 NIH 资助总计 13,342,670 美元；其余九个是 正在审查和等待的 PHS 支持总额为 10,862,613 美元。 计算技术的快速进步带来了 强大的研究工具，可以显着增加研究 这些项目的生产力并开辟了全新的途径 以前不可能进行调查。 无论是大学还是每个人 个人研究项目能够独立应对财务状况 新一代计算（网络工作站）的责任。 为了纠正这个主要缺点，新的硬件软件配置 其成本只有在共享使用的基础上才合理。 来自各部门的二十一名高级研究员 流行病学和预防医学、生理学、病理学和外科 合作指导和/或参与这些研究工作 拥有四名来自工程学院的计算机高级教师 马里兰大学学院公园校区评估了需求，进行了审查 的替代方案，并选择最具成本效益的解决方案。 结果是 此应用程序用于购买市售计算机硬件和 通过医学信息学实现共享计算系统的软件 网络使基于工作站的分布式处理成为可能。 这 设备总成本为383,254美元。 没有研究和开发 需要且不要求此类资金。 这个提议的共享计算 计划具有高度创新性，将大大提高研究生产力—— 折叠。 主要特点包括：1）满足所有当前和计划的项目 通过提供强大的数据分析新方法来满足研究需求 和演示、数学计算、人工智能，以及 高速通讯； 2）允许所有人之间最大程度的资源共享 调查人员同时给予每个主要用户最大的 可能的灵活性； 3）为广泛的生物医学研究人员提供服务 同时为患者数据的保存提供最大程度的安全性 保密； 4）利用开放式架构，在 计算机专家致力于技术指导，确保最大限度的切割- 以经济的技术更新成本实现边缘寿命。 该申请还包括组织结构、拨款 管理计划、机构和首席研究员 承诺或持续的维护和支持。 总体目标是 实现共享医疗信息学资源，为公众服务 该校卫生服务研究项目持续时间最长 时间和最大能力通过不断的进步成为可能 计算机技术。

项目成果

Evaluation of capsular and acapsular strains of S. aureus in an experimental brain abscess model.

在实验性脑脓肿模型中评价金黄色葡萄球菌的荚膜和无荚膜菌株。

• DOI: 10.1016/j.jneuroim.2009.10.006
• 发表时间: 2010
• 期刊: Journal of neuroimmunology
• 影响因子: 3.3
• 作者: Esen,Nilufer;Wagoner,Gail;Philips,Napoleon
• 通讯作者: Philips,Napoleon

Effects of low dose GM-CSF on microglial inflammatory profiles to diverse pathogen-associated molecular patterns (PAMPs).

• DOI: 10.1186/1742-2094-4-10
• 发表时间: 2007-03-20
• 期刊: Journal of neuroinflammation
• 影响因子: 9.3
• 作者: Esen N;Kielian T
• 通讯作者: Kielian T