Sakellarios, AntonisCorreia J.Kyriakidis S.Georga E.Tachos N.Siogkas, PanagiotisSans F.Stofella P.Massimiliano V.Clemente, AlbertoRocchiccioli S.Pelosi, GualtieroFilipovic, NenadFotiadis D.2021-04-202021-04-2020201751-7575https://scidar.kg.ac.rs/handle/123456789/12729© 2020 Informa UK Limited, trading as Taylor & Francis Group. We present the architecture and the usability testing of a novel cloud-based platform, which integrates cyber-physical systems and interoperability standards enabling a clinical decision support system for risk stratification, diagnosis, prognosis and treatment of CAD. In this work multi-disciplinary human data were used for the development of machine learning and computational biomechanics based predictive models. Two Lab-on-Chip devices have been integrated into the cloud platform. A targeted RNA-panel provides the mRNA gene expression values for the stratification algorithm. The results of the usability testing demonstrate that the platform is efficient, accurate and performs all developed tasks quickly.restrictedAccessarticle10.1080/17517575.2020.17469752-s2.0-85083557430