TY - GEN
T1 - An in silico trials platform for the evaluation of stent design effect in post-implantation outcomes
AU - Karanasiou, Georgia S.
AU - Tsompou, Panagiota I.
AU - Tachos, Nikolaos
AU - Karanasiou, Gianna E.
AU - Sakellarios, Antonis
AU - Kyriakidis, Savvas
AU - Antonini, Luca
AU - Pennati, Giancarlo
AU - Petrini, Lorenza
AU - Gijsen, Frank
AU - Vaughan, Ted
AU - Katsouras, Christos
AU - Michalis, Lampros
AU - Fotiadis, Dimitrios I.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Bioresorbable Vascular Scaffolds (BVS), developed to allow drug deliver and mechanical support, followed by complete resorption, have revolutionized atherosclerosis treatment. InSilc is a Cloud platform for in silico clinical trials (ISCT) used in the design, development and evaluation pipeline of stents. The platform integrates beyond the state-of-the-art multi-disciplinary and multiscale models, which predict the scaffold's performance in the short/acute and medium/long term. In this study, a use case scenario of two Bioabsorbable Vascular Stents (BVSs) implanted in the same arterial anatomy is presented, allowing the whole InSilc in silico pipeline to be applied and predict how the different aspects of this intervention affect the success of stenting process.
AB - Bioresorbable Vascular Scaffolds (BVS), developed to allow drug deliver and mechanical support, followed by complete resorption, have revolutionized atherosclerosis treatment. InSilc is a Cloud platform for in silico clinical trials (ISCT) used in the design, development and evaluation pipeline of stents. The platform integrates beyond the state-of-the-art multi-disciplinary and multiscale models, which predict the scaffold's performance in the short/acute and medium/long term. In this study, a use case scenario of two Bioabsorbable Vascular Stents (BVSs) implanted in the same arterial anatomy is presented, allowing the whole InSilc in silico pipeline to be applied and predict how the different aspects of this intervention affect the success of stenting process.
UR - https://www.scopus.com/pages/publications/85138127721
U2 - 10.1109/EMBC48229.2022.9871483
DO - 10.1109/EMBC48229.2022.9871483
M3 - Conference Publication
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 4970
EP - 4973
BT - 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Y2 - 11 July 2022 through 15 July 2022
ER -