Multi-objective optimization; neotissue growth; 3D scaffolds; evolutionary algorithms; Bone tissue engineering
Abstract :
[en] Tissue engineering is a fast progressing domain where solutions are provided for organ failure or tissue damage. Computer models can facilitate the design of optimal production process conditions leading to robust and economically viable products. We developed a computational model describing the neotissue growth (cells + their ECM) inside 3D scaffolds in a perfusion bioreactor. Here we apply multi-objective optimization (MOO) to maximize neotissue growth whilst minimizing the cost coming from medium refreshment and associated labor.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Mehrian, Mohammad ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Génie biomécanique
olofsson, Simon
Misener, Ruth
Geris, Liesbet ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Génie biomécanique
Language :
English
Title :
Multi-objective optimization of cost-efficient neotissue growth inside 3D scaffolds using evolutionary algorithms
Publication date :
26 March 2018
Event name :
15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering
Event organizer :
Instituto Superior Técnico
Event place :
LISBON, Portugal
Event date :
From 26-03-2018 to 29-03-208
Audience :
International
Main work title :
Proceedings of the 15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE)
