Objective
The aim of InSilc is to develop an in-silico clinical trial (ISCT) platform for designing, developing and assessing drug-eluting bioresorbable vascular scaffolds (BVS), by building on the comprehensive biological and biomedical knowledge and advanced modelling approaches to simulate their implantation performance in the individual cardiovascular physiology. The InSilc platform is based on the extension of existing multidisciplinary and multiscale models for simulating the drug-eluting BVS mechanical behaviour, the deployment and degradation, the fluid dynamics in the micro- and macroscale, and the myocardial perfusion, for predicting its interaction with the vascular wall in the short- and medium/long term. InSilc goes beyond the design and development of ISCT and lays on the generation of in-silico models for obtaining quick and informed answers to several “What if” scenarios. “Virtual” patients would be given a “virtual” drug-eluting BVS, for observing the performance of the scaffold, assess and quantify the intended effect, with a deeper understanding than normal trials can provide. By integrating the information obtained from different in-silico predictive models, InSilc will: (i) assist in the development, assessment and optimization of the drug-eluting BVS and deliver accurate and reliable information to the Stent Biomedical Industry, (ii) assist the interventional Cardiologists in improving the surgical process of drug-eluting BVS implantation, support them in the clinical assessment and reduce the complications of suboptimal scaffold performance. By introducing computer simulations for establishing the safety and efficacy of drug-eluting BVS, InSilc aims to lower development costs and shorten time-to-market, reduce, refine, and partially replace human clinical trials through a more effective human clinical trials design, reduce the need for animal testing and result in a significant reduction of the associated direct and indirect costs.
Fields of science
Programme(s)
Call for proposal
H2020-SC1-2017-CNECT-2
See other projects for this call
Funding Scheme
RIA - Research and Innovation actionCoordinator
70013 Irakleio
Greece
Participants (12)
Participation ended
S10 2TN Sheffield
3015 GD Rotterdam
20133 Milano
00185 Roma
20123 Milano
9052 Gent
H91 Galway
34000 Kragujevac
45110 Ioannina
02421 Lexington
H91 Galway
LS2 9JT Leeds