UNS: Collaborative Research: Wall Shear Stress Sensor for Engineering Fluid Dynamics in Biomedical Systems

建议：1512553/1512553 PIs：Frakes，David/Sodana，Henry拟议的研究计划可能提供与脑动脉瘤和类似相关病理学相关的生物医学领域的基础知识和有用的研究技术。该计划专注于壁面剪应力传感器的开发和应用，以提高对脑动脉瘤流体动力学的基本了解，创建解决类似问题的原型，并在人类健康的背景下支持流体动力学工程的长期进步。脑动脉瘤影响了超过5%的人口，相当于美国有1700多万人。它们会导致10%的中风，破裂后的死亡率为65%。虽然有直接的临床证据将治疗后的血流动力学与结果联系起来，但支持治疗成功的具体血流动力学尚不清楚。这种理解上的差距阻碍了更成功的治疗方法的设计和实施。为了改进这一问题的解决方案，以及它所体现的更广泛类别的问题，拟议的研究计划将通过以下方式促进生物医学系统的传感：创建用于流体动力学实验的脑动脉瘤的物理模型，开发用于直接测量壁面剪应力的纳米结构传感器，在受控良好的条件下表征和分析新型剪应力传感器，并通过在动脉瘤模型中使用传感器来表征传感器以了解动脉瘤流动。该研究项目的智力优势包括：用于直接测量壁面剪应力的新型纳米结构传感器，物理、计算和流体动力学脑动脉瘤库，以及生物医学系统中流体动力学的先进知识。研究计划的更广泛影响包括：以新型传感器和广泛传播的脑动脉瘤资料库的形式加强研究和教育的基础设施(包括物理和计算模型以及流体动力学数据)、本科生研究项目和本科生/研究生课堂案例研究、新产生的与研究和行业专业人员的合作伙伴关系，以及对社会的影响，包括降低医疗成本和改善人类生活质量和持续时间。该计划的主要教育目标是增加对关键但不可用的工程技术的接触，并扩大对工程的参与。为了实现这些目标，教育计划将通过基于推动研究计划的核心技术的多媒体课程让学生参与进来，从而将拟议的研究直接与教育相结合。脑动脉瘤对拉美裔和女性的影响不成比例。这一事实将被用来从科学和工程领域代表性不足的群体中招募研究和教育项目的参与者。这些计划将使当地和全球的多个群体(研究人员、患者、学生、代表性不足的群体)和机构(学术界、工业界、医疗保健、教育)受益。

Proposals: 1512553 / 1512553PIs: Frakes, David / Sodana, HenryThe proposed research program is likely to provide fundamental knowledge, useful research techniques in the biomedical field related to cerebral aneurysms and similar related pathology. The program focuses on the development and application of wall shear stress sensors to improve fundamental understanding of cerebral aneurysm fluid dynamics, create a prototype for addressing similarly posed problems, and underpin long-term advancement of fluid dynamic engineering in the context of human health. Cerebral aneurysms affect over 5% of the population, which translates to more than 17 million people in the United States. They cause 10% of strokes and have a mortality rate of 65% after rupture. Although there is direct clinical evidence linking post-treatment hemodynamics to outcomes, the specific hemodynamics that underpin treatment success are not clear. This gap in understanding prevents the design and execution of more successful treatments. To improve solutions for this problem, and the broader class of problems it exemplifies, the proposed research program will advance sensing of biomedical systems through: create physical models of cerebral aneurysms for fluid dynamic experiments, develop nanostructured sensors for measuring wall shear stress directly, characterize and analyze the novel shear stress sensors under well-controlled conditions, and characterize the sensors by using them in the aneurysm models for understanding aneurysmal flows. Intellectual merits of the research program are: novel nanostructured sensors for measuring wall shear stress directly, a physical, computational, and fluid dynamic cerebral aneurysm library, and advance current knowledge of fluid dynamics in biomedical systems. Broader impacts of the research program include: enhanced infrastructure for research and education in the forms of novel sensors and a broadly disseminated cerebral aneurysm library (including both physical and computational models and fluid dynamic data), undergraduate research projects and undergraduate/graduate classroom case studies, newly generated partnerships with research and industry professionals, and impacts on society including reduced healthcare costs and improved quality and duration of human life. The primary educational goals of this program are to increase exposure to crucial but unavailable engineering technologies and to broaden participation in engineering. Toward those goals, the education program will engage students through multimedia curricula based the core technologies that drive the research program, thereby integrating the proposed research directly with education. Cerebral aneurysms affect both Hispanics and women disproportionately. This fact will be leveraged to recruit research and education program participants from groups that are underrepresented in science and engineering. The programs will benefit multiple groups (researchers, patients, students, underrepresented groups) and institutions (academia, industry, healthcare, education) both locally and globally.