Request for Supplemental Funds for I-Corps Participation

申请 I-Corps 参与补充资金

• 批准号: 9247625
• 负责人: Kenneth L Drake
• 金额: $ 4万
• 依托单位: SERALOGIX
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-05-01 至 2017-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9247625
• 关键词: Address; Animals; Applications Grants; Biological Sciences; Case Study; Certification; Collection; Communities; Comparative Study; Complement; Complex; Computer software; Cost Savings; Data; Data Collection; Data Storage and Retrieval; Databases; Ensure; Expenditure; Experimental Designs; Funding; Goals; Grouping; Health; Innovation Corps; Institutes; Knowledge; Lead; Life; Manuals; Measures; Methods; Nature; Outcome; Ownership; Phase; Price; Procedures; Process; Publishing; Qualifying; Randomized; Recruitment Activity; Reporting; Research Design; Research Personnel; Resources; Sample Size; Sampling; Savings; Scientist; Services; Site; Study Section; Testing; Texas; Time; To specify; Training; Universities; Utah; base; behavioral outcome; cloud based; cloud platform; cost; data management; design; electronic data; experience; improved; knowledge base; pre-clinical; prototype; research study; sex; success; tool; treatment planning; virtual; web site

 DESCRIPTION: The primary goal of this fast track project is to commercialize a cloud-based software suite complemented with on-call expert services to guide life science researchers, that may have minimal statistical and experimental design (ED) knowledge, to rigorously plan, optimize, justify, manage, and report results for complex animal studies. Inadequately planned experiments (e.g. lack of randomization/blinding and diversity, low sample size, high test variabilities, etc.) can introduce bias and limit statistical power, both of which may lead to possible misinterpretations of results and ineffective use of resources. Such deficiencies and poor quality reporting can lead to irreproducible results and may mislead the scientific community. Compounding the problem is the complex nature of the studies themselves, such as species diversity, strain/sex groupings, litters, randomization, sample size, power, sampling times, analysis and treatment plans, outcome variability, and cost tradeoffs that all must be considered when optimizing EDs. Some of these issues may be caused by a lack of access to statisticians, test method knowledge (i.e. variabilities) and planning tools or a lack of rigorous training in ED methods. A collaborative initiative was created by Seralogix to include experts from the University of Texas, FDA, University of Utah, University of Edinburgh, and the Broad Institute. Addressing these issues, Seralogix and our collaborators will implement an intelligent, knowledge driven cloud application and service portal for ED planning and optimization called the Statistically Rigorous Experimental Animal Study Designer (i.e. SHREWD). We believe that SHREWD will lead to a reduction in animal use, savings in financial and scientific resources, and will improve the scientific validity of the study results through the rigorous collection of daa following well planned and executed experimental designs.

 产品说明：这个快速通道项目的主要目标是将基于云的软件套件商业化，并辅以随叫随到的专家服务，以指导可能具有最少统计和实验设计（艾德）知识的生命科学研究人员严格规划、优化、证明、管理和报告复杂动物研究的结果。实验计划不充分（例如，缺乏随机化/设盲和多样性、样本量低、试验变异性高等）可能会引入偏见并限制统计能力，这两者都可能导致对结果的误解和资源的无效使用。这种缺陷和报告质量差可能导致无法复制的结果，并可能误导科学界。使问题更加复杂的是研究本身的复杂性，例如物种多样性，品系/性别分组，窝仔，随机化，样本量，功效，采样时间，分析和治疗计划，结果变异性和成本权衡，所有这些都必须在优化ED时考虑。其中一些问题可能是由于缺乏统计学家、测试方法知识（即变异性）和规划工具或缺乏艾德方法的严格培训造成的。Seralogix创建了一个合作计划，包括来自德克萨斯大学、FDA、犹他州大学、爱丁堡大学和布罗德研究所的专家。为了解决这些问题，Seralogix和我们的合作者将为艾德规划和优化实施一个智能的、知识驱动的云应用程序和服务门户网站，称为统计严格的实验动物研究设计器（即SHREWD）。我们相信，SHREWD将导致减少动物使用，节省财政和科学资源，并将通过严格收集daa以下精心策划和执行的实验设计，提高研究结果的科学有效性。