MULTISCALE MODELING ENVIRONMENT FOR TISSUE AND ORGAN BIOPHYSICS

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 总体目标是开发和部署新颖的、可访问Web的、支持集群的网格- 感知软件和数据资源，使生物力学、生物物理学方面的研究人员 和心血管生理学进行数值实验，从结构上讲 从亚细胞到整个器官范围的集成；跨功能集成 相互作用的生物过程；以及整合来自各种 来源、规模和方式。 我们将探索和推进这些综合分析的综合，以便 研究人员可以开发出将理论与经验数据相结合的计算模型 从功能和结构上研究以实验为动力的生物医学 假设。为了实现这些目标，我们建议与可视化密切互动， 网格计算和数据集成资源的核心研究活动。集中精力 在科学上的重要问题上的这些进展，我们已经开发出合作 应用实验和计算方法的研究人员参与的项目 为了解生理性和非致病性的细胞和分子机制 依赖于关节的三维解剖的病理生理过程 全心全意为他们在体内的表现。 这一核心的主要应用将继续是心脏的计算模型 从单个心肌细胞生物物理学到整个心脏的机电特性 生理学，并用实验测量进行了验证 动物模型。鉴于这些多尺度模型的数据组件及其 实验验证是专门针对心脏、计算方法和软件的 更普遍一些。因此，更新的目的和新的目标用户 正在开发的工具从心脏的生物物理学扩展到其他生物医学 应用包括软组织生物力学、电生理学、系统生物学和 诊断性医学成像。 目标1：用于动态创作的交互式高性能建模环境 综合多尺度模型 目标2：多尺度模型库和共享框架 目标3：针对特定患者的心脏病诊断和治疗软件 补充目标D 加快患者特定建模和连续性开发：利用新的NIH 自NBCR续订提交以来的投资，以帮助建立新兴社区或 研究人员 D1。加快开发针对患者的多尺度建模软件 在AIM 3中 D2。使用新工具开发特定于患者的未识别模型的数据库 最新可用的临床数据，并加快开发和发布多 目标2中提出的比例模型库和共享框架 D3.利用GPU技术连续加速关键代码

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. 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