Improvement of hemodynamic performance and vessel repair using novel stent design

当血流由于血管中存在动脉粥样硬化斑块而受阻时，通常部署冠状动脉支架以“重新打开”通道。然而，这种展开涉及非常强的机械力以使支架变形成其最终形状并导致最内层细胞的破坏。该层的快速修复对于避免凝血或再狭窄（例如，阻塞的再形成）是至关重要的。与Evans教授一起，我们已经证明了这种修复过程取决于支架血管内的流动模式，我们希望利用这些知识来创造一种新型的冠状动脉支架。该项目的目的是设计、制造和验证一种新的冠状动脉支架。作为工程和医学之间的前沿研究人员，您将结合联合收割机传统的机械工程工具（CAD，流动分析，PIV），以优化冠状动脉支架的设计与生物技术（细胞培养，显微镜，.）以验证其有效性。该项目将得到INSIGNEO计算机医学研究所的支持。INSIGNEO是谢菲尔德大学工程学院和医学院与谢菲尔德教学医院基金会信托基金会之间的一项研究倡议。INSIGNEO旨在实现虚拟生理人背后的科学抱负，对医疗保健产生变革性的影响。INSIGNEO成立不久，已被认为是计算机医学研究领域的世界领先机构之一

When blood flow is obstructed due to the presence of an atherosclerotic plaque in a blood vessel, coronary stents are often deployed to "re-open" the passage. However, this deployment involves very strong mechanical forces to deform the stent into its final shape and result in the destruction of the innermost layer of cells. A rapid repair of this layer is critical to avoid clotting or restenosis, e.g. reformation of the obstruction. With Prof Evans, we have demonstrated that this repair process is dependent on flow patterns within the stented vessel and we want to use this knowledge to create a novel coronary stent. The aim of the project will be to design, manufacture and validate a new coronary stent. As a researcher at the frontier between engineering and medicine, you will combine traditional mechanical engineering tools (CAD, Flow analysis, PIV) to optimize the design of the coronary stent with biotechnological techniques (cell culture, microscopy, ...) to validate its effectiveness. This project will be supported by the INSIGNEO Institute for in silico Medicine. INSIGNEO is a research initiative between the Faculty of Engineering and the Faculty of Medicine at the University of Sheffield and the Sheffield Teaching Hospitals Foundation Trust. INSIGNEO intends to realise the scientific ambition behind the Virtual Physiological Human, producing a transformational impact on healthcare. While recently established, INSIGNEO is already considered one of worldwide-leading institutions in the area of in silico medicine research