top of page


In Silico Clinical Trials: the BVS paradigm


Digital revolution has extended the frontiers of medical devices design and development, with In Silico Clinical Trials (ISCT) being an innovative approach for intuitively, precisely, and reproducibly merging computational tools and biology. Over the last years, a huge investment in in silico approaches through the incorporation of patient-specific computer models, accounting on the comprehensive biological and biomedical knowledge and advanced modelling paradigms, has been made. Those in silico models can mimic the complexity of human disease mechanisms, address the individual variability and provide predictions on the device’s performance. With ISCT, “what if” scenarios and experimental manipulations, currently impossible to being conducted in real-life can be created, complementing the in vivo and in vitro testing. The application of ISCT in BVS design, development and optimisation is a promising paradigm of how the complexity of human disease and device mechanisms and the individual variability can be mimicked, and contribute to the acceleration of BVS design and development pipeline, serving, in parallel, the principles of the 3Rs (Replacement, Reduction and Refinement) of animal and clinical research.


Prof. Dimitrios I. Fotiadis (Male), received the Diploma degree in chemical engineering from the National Technical University of Athens, Athens, Greece, and the Ph.D. degree in chemical engineering and materials science from the University of Minnesota, Minneapolis. He is currently a Professor of Biomedical Engineering in the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece, where he is also the Director of the Unit of Medical Technology and Intelligent Information Systems, and is also an Affiliated Member of Foundation for Research and Technology Hellas, Institute of Molecular Biology and Biotechnology, Dept. of Biomedical Research. He was a Visiting Researcher at the RWTH, Aachen, Germany, and the Massachusetts Institute of Technology, Boston. He has coordinated and participated in more than 250 R&D funded projects (in FP6, FP7, H2020, and national Projects), being the coordinator (e.g. INSILC, TAXINOMISIS, HOLOBALANCE, CARDIOCARE, DECODE, etc.) and Technical coordinator (e.g. SMARTOOL, KARDIATOOL, TO_AITION, etc.). He is the author or coauthor of more than 300 papers in scientific journals, 500 papers in peer-reviewed conference proceedings, and more than 50 chapters in books. He is also the author/editor of 30 books. His work has received more than 19,200 citations (h-index=68). He is IEEE EMBS Fellow, EAMBES Fellow, Fellow of IAMBE, member of the IEEE Technical Committee of information Technology in Healthcare, Editor in Chief of IEEE Journal of Biomedical and Health Informatics, Member of the Editorial Board in IEEE Reviews in Biomedical Engineering, Associate Editor for IEEE Open Journal in Engineering in Biology and Medicine and Computers in Biology and Medicine. His research interests include multiscale modelling of human tissues and organs, intelligent wearable/implantable devices for automated diagnosis, processing of big medical data, machine learning, sensor informatics, image informatics, and bioinformatics. He is the recipient of many scientific awards including the one by the Academy of Athens. He is the co-founder of PD Neurotechnology Ltd, UK.


FIAMBE, FIEEE, EIC of JBHI, University of Ioannina

Dimitris Fotiadis.jpg
bottom of page