Multiscale Computational Modeling of Platelet Deposition and Coagulation in Flow

该项目的长期目标是开发最先进的血栓形成计算模型，以探索物理和化学因素如何相互作用以确定其进展。开发工作的一个组成部分将是使用完善的灌注系统对模型进行实验验证， 共聚焦显微镜用于确定血栓沉积的特征。具体而言，将开发i）小直径血管（小动脉）中的血小板附壁血栓形成和ii）小血管（小动脉和小静脉）中的组合血小板血栓形成和凝血的3D计算模型。这些模型将被设计成 充分利用高性能并行计算能力以及创新的数学和计算方法，并将允许探索血栓形成中流动、化学和血管生物学之间的复杂、动态和多尺度相互作用。通过与Vincent Turitto博士的财团安排 和他在伊利诺斯理工学院的血栓形成小组，将进行实验，以提供必要的实验数据。模型的修改将通过计算组和实验组之间的密切互动进行，并在血栓形成专家咨询小组的协助下进行。因此，该项目汇集了一个独特的跨学科团队的数学家，计算科学家，生物医学工程师和生命科学家在一个很好的集成计算和实验的努力，以了解血管内血栓形成，并开发可靠的模型，用于预测血栓事件的过程，可以帮助设计改进的医疗设备和治疗方法，以预防和治疗血栓形成。

The long term goal of this project is to develop state of the art computational models of thrombosis in order to explore how physical and chemical factors interact to determine its progression. An integral component of the developmental work will be the experimental validation of the models using well-established perfusion systems and confocal microscopy for determining the characteristics of thrombus deposition. Specifically, 3D computational models of i) platelet mural thrombosis in small diameter blood vessels (arterioles), and ii) combined platelet thrombosis and coagulation in small vessels (arterioles and venules) will be developed. The models will be designed to take full advantage of high performance parallel computing capabilities as well as innovative mathematical and computational methods and will permit exploration of the complex, dynamic, and multiscale interplay between flow, chemistry and vascular biology in thrombosis. Through a Consortium arrangement with Dr. Vincent Turitto and his thrombosis group at the Illinois Institute of Technology, experiments will be conducted to provide the necessary experimental data. Modification of the models will occur through close interaction between the computational and experimental groups, and with the assistance of an Advisory Group of thrombosis experts. The project thus brings together a unique cross-disciplinary team of mathematicians, computational scientists, biomedical engineers and life scientists in a well integrated computational and experimental effort to understand intravascular thrombosis and to develop reliable models for predicting the course of thrombotic events that can help in designing improved medical devices and therapies to prevent and treat thrombosis.