Washington University Institute of Clinical and Translational Sciences

华盛顿大学临床与转化科学研究所

• 批准号: 10827727
• 负责人: William G. Powderly
• 金额: $ 23.33万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10827727
• 关键词: Acceleration; Area; Artificial Intelligence; Bioinformatics; Biological; Biometry; Capital; Clinical Sciences; Cloud Computing; Cloud Service; Collaborations; Communities; Community Health; Complex; Computer Hardware; Cost Analysis; Cost Savings; Data; Data Storage and Retrieval; Dedications; Ecosystem; Environment; Faculty; Funding; Genome; Goals; Health; High Performance Computing; Human Genome Project; Human Resources; Hybrids; Image; Individual; Informatics; Information Technology; Institution; Investments; Longevity; Machine Learning; Memory; Mentors; Occupations; Outcome; Ownership; Performance; Population Heterogeneity; Positioning Attribute; Privatization; Process; Qualifying; Recording of previous events; Research; Research Infrastructure; Research Personnel; Resources; Risk; Running; Science; Series; Services; Testing; Time; Translating; Translational Research; United States National Institutes of Health; Universities; Vendor; Washington; Work; Workload; cloud based; cloud platform; cluster computing; computing resources; cost; cost effective; cost estimate; data centers; design; digital; diverse data; examination questions; experience; field study; flexibility; implementation design; improved; innovation; interoperability; medical schools; migration; multidisciplinary; novel; novel strategies; parent grant; programs; simulation; success; translational impact

PROJECT SUMMARY/ABSTRACT The Institute of Clinical and Translational Sciences aligns with the CTSA goals of developing novel solutions to improve the efficiency, quality, and impact of translational science. The parent grant pursues five aims: Aim 1: Advance interdisciplinary programs to develop, promote, mentor, and retain highly qualified and diverse faculty, trainees, and staff who translate scientific discoveries into action, thereby becoming agents for change in their institutions and communities. Aim 2: Facilitate research designed for implementation by engaging diverse communities and stakeholders in multidisciplinary collaborative teams at all stages of the translational research process, thereby demonstrating the benefit and impact of translational science. Aim 3: Integrate research across individual lifespans and apply translational science in complex and diverse populations to improve individual and community health through meaningful research collaborations and sustainable partnerships. Aim 4: Drive innovation, quality, efficiency, and inclusion in translational research to enhance collaborations and catalyze the implementation of discovery science. Aim 5: Apply innovative informatics and biostatistics solutions to improve quality and efficiency at every stage of translational research, and create an ecosystem that integrates diverse data and facilitates the interoperability, use, and reuse of digital assets. This supplement will focus on the following aims: Aim 1: Deploy a hybrid-cloud HPC cluster to the public cloud that is seamlessly integrated with on- premises worker nodes and data storage. Aim 2: Run tests on a range of HPC workloads, including Data Simulations, Bioinformatics, Artificial Intelligence/Machine Learning & Imaging (GPU accelerator-focused), and general interactive workloads. We will compare the performance of workloads running on cloud and on-premises nodes, utilizing job run time and cost as the primary metrics. Aim 3: Evaluate the viability of deploying HPC clusters and nodes to the public cloud. We will complete this by examining the cost of running the workloads described in Aim 2 and comparing them to the projected costs of traditional on-premises approaches. The expected outcome of the supplement work is a comprehensive understanding to determine either what kinds of HPC workloads are more cost effective, or more performant in a hybrid-cloud HPC environment than a traditional on-premises deployment.

项目概要/摘要 临床和转化科学研究所与 CTSA 的目标一致，即开发新颖的解决方案 提高转化科学的效率、质量和影响力。 家长补助金追求五个目标： 目标 1：推进跨学科项目，以开发、促进、指导和留住高素质人才 多样化的教职人员、学员和工作人员将科学发现转化为行动，从而成为 机构和社区变革的推动者。 目标 2：通过让不同社区和社区参与来促进旨在实施的研究 转化研究过程各个阶段的多学科协作团队的利益相关者， 从而展示转化科学的好处和影响。 目标 3：整合跨个体生命周期的研究，并将转化科学应用于复杂和复杂的领域 通过有意义的研究来改善不同人群的个人和社区健康 合作和可持续的伙伴关系。 目标 4：推动转化研究的创新、质量、效率和包容性，以增强 合作并促进发现科学的实施。 目标 5：应用创新的信息学和生物统计学解决方案来提高每个方面的质量和效率 转化研究阶段，创建一个整合多样化数据并促进 数字资产的互操作性、使用和重用。 本补充文件将重点实现以下目标： 目标1：将混合云HPC集群部署到公有云，与本地无缝集成 场所工作节点和数据存储。 目标 2：对一系列 HPC 工作负载运行测试，包括数据模拟、生物信息学、人工 智能/机器学习和成像（以 GPU 加速器为重点）以及一般交互 工作负载。我们将比较在云和本地节点上运行的工作负载的性能， 利用作业运行时间和成本作为主要指标。 目标 3：评估将 HPC 集群和节点部署到公共云的可行性。我们将完成 通过检查运行目标 2 中描述的工作负载的成本并将其与 传统本地方法的预计成本。 补充工作的预期结果是全面了解以确定什么 与混合云 HPC 环境相比，各种 HPC 工作负载更具成本效益或性能更高 传统的本地部署。

项目成果

Social Media for Research Discourse, Dissemination, and Collaboration in Rheumatology.

用于风湿病学研究讨论、传播和合作的社交媒体。

• 发表时间: 2022-12
• 作者: Coler;Graef, Elizabeth R;Kim, Alfred H J;Liew, Jean W;Putman, Michael S;Sattui, Sebastian E;Young, Kristen J;Sparks, Jeffrey A
• 通讯作者: Sparks, Jeffrey A

Brain Abscess and Stroke in Children and Adults With Hereditary Hemorrhagic Telangiectasia: Analysis of a Large National Claims Database.

患有遗传性出血性毛细血管扩张症的儿童和成人的脑脓肿和中风：大型国家索赔数据库的分析。

• 发表时间: 2023-06-06
• 影响因子: 9.9
• 作者: White, Andrew J;Marmor, Itay;Peacock, Kate M;Nickel, Katelin B;Zavadil, Jessica;Olsen, Margaret A
• 通讯作者: Olsen, Margaret A

Promoting rigor and sustainment in implementation science capacity building programs: A multi-method study.

促进实施科学能力建设计划的严谨性和持续性：多方法研究。

• 发表时间: 2022
• 作者: Huebschmann, Amy G;Johnston, Shelly;Davis, Rachel;Kwan, Bethany M;Geng, Elvin;Haire;Sandler, Brittney;McNeal, Demetria M;Brownson, Ross C;Rabin, Borsika A
• 通讯作者: Rabin, Borsika A

Extracellular Vesicles From Primed Adipose-Derived Stem Cells Enhance Achilles Tendon Repair by Reducing Inflammation and Promoting Intrinsic Healing.

来自引发的脂肪干细胞的细胞外囊泡通过减少炎症和促进内在愈合来增强跟腱修复。

• 发表时间: 2023-06-15
• 作者: Shen, Hua;Lane, Ryan A
• 通讯作者: Lane, Ryan A

Writing letters in two graphic systems: Behavioral and neural correlates in Latin-Arabic biscripters.

用两种图形系统书写字母：拉丁-阿拉伯双脚本中的行为和神经关联。

• 发表时间: 2023-07-04
• 影响因子: 2.6
• 作者: Fabiani, Elie;Velay, Jean;Younes, Céleste;Anton, Jean;Nazarian, Bruno;Sein, Julien;Habib, Michel;Danna, Jeremy;Longcamp, Marieke
• 通讯作者: Longcamp, Marieke