Reference : Multi-objective optimization of cost-efficient neotissue growth inside 3D scaffolds u...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/2268/218954
Multi-objective optimization of cost-efficient neotissue growth inside 3D scaffolds using evolutionary algorithms
English
Mehrian, Mohammad mailto [Université de Liège - ULiège > Département d'aérospatiale et mécanique > Génie biomécanique >]
olofsson, Simon []
Misener, Ruth []
Geris, Liesbet mailto [Université de Liège - ULiège > Département d'aérospatiale et mécanique > Génie biomécanique >]
26-Mar-2018
Proceedings of the 15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE)
Yes
No
International
15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering
From 26-03-2018 to 29-03-208
Instituto Superior Técnico
LISBON
Portugal
[en] Multi-objective optimization ; neotissue growth ; 3D scaffolds ; evolutionary algorithms ; Bone tissue engineering
[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.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/218954

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