MULTISCALE MODELING ENVIRONMENT FOR TISSUE AND ORGAN BIOPHYSICS

组织和器官生物物理学的多尺度建模环境

• 批准号: 8169337
• 负责人: Andrew D. McCulloch
• 金额: $ 26.8万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-05-01 至 2011-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8169337
• 关键词: Anatomy; Animal Model; Biological Process; Biomechanics; Biophysics; Cardiac; Cardiovascular Physiology; Clinical Data; Code; Communities; Computer Retrieval of Information on Scientific Projects Database; Computer Simulation; Computer software; Computing Methodologies; Data; Databases; Development; Diagnosis; Diagnostic; Electrophysiology (science); Environment; Funding; Goals; Grant; Heart; Heart Diseases; Imagery; Institution; Investments; Measurement; Medical Imaging; Modality; Modeling; Molecular; Muscle Cells; Organ; Patients; Performance; Physiological; Physiology; Process; Property; Research; Research Activity; Research Personnel; Resources; Source; Speed; Systems Biology; Technology; Tissues; United States National Institutes of Health; Validation; cluster computing; data integration; in vivo; multi-scale modeling; novel; repository; research study; soft tissue; theories; tool; web-accessible

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The overall objective is to develop and deploy novel, web accessible, cluster-enabled, grid-aware software and data resources that allow investigators in biomechanics, biophysics and cardiovascular physiology to perform numerical experiments that are: structurally integrated from sub-cellular to whole organ scales; functionally integrated across interacting biological processes; and that integrate experimental data from a variety of sources, scales and modalities. We will explore and advance the synthesis of these integrative analyses so that investigators can develop computational models that integrate theory with empirical data both functionally and structurally to investigate experimentally motivated biomedical hypotheses. To achieve these goals, we propose to interact closely with the visualization, grid computing and data integration core research activities of the resource. To focus these developments on scientifically important questions, we have developed collaborative projects with investigators who are applying experimental and computational approaches to understand the cellular and molecular mechanisms of physiological and pathophysiological processes that are dependent on the three-dimensional anatomy of the whole heart for their manifestations in vivo. The primary application of this core will continue to be computational models of cardiac electromechanical properties that integrate from single myocyte biophysics to whole heart physiology and are validated with experimental measurements in well characterized animal models. Whereas the data components of these multiscale models and their experimental validation are specific to the heart, the computational methods and software are more general. Therefore, the aims of the renewal and the targeted users of the new tools under development extend beyond the biophysics of the heart to other biomedical applications including soft tissue biomechanics, electrophysiology, systems biology, and diagnostic medical imaging. Aim 1: Interactive High-Performance Modeling Environment for Dynamic Authoring of Integrative Multi-Scale Models Aim 2: Multi-Scale Model Repository and Sharing Framework Aim 3: Software for Patient-Specific Diagnosis and Treatment of Heart Disease Supplemental Aim D Expediting Patient Specific Modeling and Continuity Development: Capitalizing on new NIH investments since NBCR renewal submission to help build an emerging community or researchers D1. Expedite the development of patient-specific multi-scale modeling software proposed in Aim 3 D2. Develop a database of de-identified patient-specific models using the new tools and newly available clinical data, and to accelerate the development and release of the multi-scale model repository and sharing framework proposed in Aim 2 D3. Harness GPU technology to speed up key codes in Continuity

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 总体目的是开发和部署新颖，可访问，启用集群的，网格感知的软件和数据资源，使研究人员从事生物力学，生物物理学和心血管生理学的研究人员可以执行：从结构上整合的数值实验，这些实验是从亚细胞到整个器官尺度到整个器官尺度的； functionally integrated across interacting biological processes;这整合了来自各种来源，量表和方式的实验数据。 我们将探索并推进这些综合分析的合成，以便研究者可以开发将理论与功能和结构上的经验数据整合在一起，以研究实验动机的生物医学假设。为了实现这些目标，我们建议与资源的可视化，网格计算和数据集成核心研究活动紧密互动。为了将这些发展集中在科学重要的问题上，我们与研究人员开发了合作项目，这些研究人员正在应用实验和计算方法来了解生理和病理生理过程的细胞和分子机制，这些过程依赖于整个心脏的三维解剖学，以使其在体内表现出来。 该核心的主要应用将继续是从单个心肌生物物理学到整个心脏生理学整合的心脏机电特性的计算模型，并通过表征良好的动物模型中的实验测量进行了验证。尽管这些多尺度模型的数据组件及其实验验证是特定于心脏的，但计算方法和软件更为一般。因此，续订的目的和开发的新工具的目标用户超出了心脏的生物物理学超出了其他生物医学应用，包括软组织生物力学，电生理学，系统生物学和诊断医学成像。 AIM 1：互动高性能建模环境，用于集成多尺度模型的动态创作 AIM 2：多尺度模型存储库和共享框架 AIM 3：针对患者特定诊断和治疗心脏病的软件 补充目标d 加快患者特定的建模和连续性开发：自NBCR更新以来，利用新的NIH投资，以帮助建立新兴社区或研究人员 D1。加快在AIM 3中提出的特定患者的多尺度建模软件的开发 D2。使用新工具和新的临床数据来开发取消识别的特定于患者模型的数据库，并加快在AIM 2中提出的多尺度模型存储库和共享框架的开发和发布 D3。利用GPU技术加快连续性密钥代码