Karanasiou Georgia S, Tsobou Panagiota I, Tachos Nikolaos S, Antonini Luca, Petrini Lorenza, Pennati Giancarlo, Gijsen Frank, Nezami Farhad Rikhtegar, Tzafiri Rami, Vaughan Ted, Fawdry Martin, Fotiadis Dimitrios I
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2675-2678. doi: 10.1109/EMBC44109.2020.9176317.
In the recent years, Bioresorbable Vascular Scaffolds (BVS) for the treatment of atherosclerosis have been introduced. InSilc is a cloud based in silico clinical trial (ISCT) platform for drug-eluting BVS. The platform integrates multidisciplinary and multiscale models predicting the BVS performance. In this study, we present a use case scenario and demonstrate the functioning of the individual modules and of the whole pipeline and the ability to predict BVS short, medium, long-term outcomes.
近年来，用于治疗动脉粥样硬化的生物可吸收血管支架（BVS）已被引入。InSilc是一个基于云计算的药物洗脱BVS的计算机模拟临床试验（ISCT）平台。该平台集成了预测BVS性能的多学科和多尺度模型。在本研究中，我们展示了一个用例场景，并演示了各个模块以及整个流程的功能，以及预测BVS短期、中期和长期结果的能力。
