Nenad Filipovic1*, Themis Exarchos2, and Djordje Jakovljevic3
1Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia
2Deparment.of Informatics, Ionian University, Corfu, Greece
3Centre for Health and Life Sciences, Coventry University, United Kingdom
fica [at] kg.ac.rs
Abstract
In silico clinical trials are a new paradigm for development of a new drug and medical device. SILICOFCM project is multiscale modeling of familial cardiomyopathy which considers a comprehensive list of patient specific features as genetic, biological, pharmacologic, clinical, imaging and cellular aspects.
The 3D deformable-body represents the left and right ventricle of the heart. Blood flow is modeled during the filling phase by applying the fluid-solid interaction method. The ventricle wall is modeled by 3D brick 8-node solid elements, with fibers that have three-dimensional direction. The Navier-Stokes equations are solved using the ALE formulation for fluid with large displacements of the boundary. The ventricle wall model is simulated by the muscle material model. Muscle fiber orientation is defined by direction vector in 3D prescribed through input data. The outlet blood pressure is used as the boundary condition. At the same time, the wall muscle fibers are activated according to the activation function taken from specific patient measurements.
Computational Platform for Multiscale Modelling in biomedical engineering is results of SGABU project that is served as an educational tool for students and researchers. The platform integrates already developed solutions and various datasets related to cancer, cardiovascular, bone disorders and tissue engineering into one multiscale platform. This will enable further validation and parameterization of models, creation of environment for future trends, e.g. in silico clinical trials, virtual surgery, development of prediction models.
InSilc project is devoted to in silico mechanical stent testing within ISO 25539 standards and in silico stent deployment for metallic and biodegradable material.
In-silico projects will connect basic experimental research with clinical study and bioinformatics, data mining and image processing tools using very advanced computer models for drug, stent and patient database in order to reduce animal and clinical studies.
Keywords: bioinformatics, insilico clinical trials, data mining, cardiovascular disease
Acknowledgement: This paper is supported by the projects that have received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952603 (SGABU project). This paper reflects only the author’s view. The Commission is not responsible for any use that may be made of the information it contains.
