Reference : In silico design of treatment strategies in wound healing and bone fracture healing
Scientific journals : Article
Engineering, computing & technology : Computer science
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/70336
In silico design of treatment strategies in wound healing and bone fracture healing
English
Geris, Liesbet mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Génie biomécanique >]
Schugart, R. [>4Department of Mathematics and Computer Science, Western Kentucky University, 1906 College Heights Boulevard No. 11078, Bowling Green, KY 42101-1078, USA > > > > >]
Van Oosterwyck, H. [>1Division of Biomechanics and Engineering Design, Department of Mechanical Engineering, Katholieke Universiteit Leuven, Celestijnenlaan 300C (2419 ), 3001 Leuven, Belgium > > > > >]
2010
Philosophical Transactions : Mathematical, Physical & Engineering Sciences
Royal Society
368
1920
2683-2706
Yes (verified by ORBi)
International
1364-503X
1471-2962
[en] wound healing ; bone regeneration ; mathematical modelling ; treatment strategies ; patient variability
[en] Wound and bone fracture healing are natural repair processes initiated by trauma. Over the last decade, many mathematical models have been established to investigate the healing processes in silico, in addition to ongoing experimental work. In recent days, the focus of the mathematical models has shifted from simulation of the healing process towards simulation of the impaired healing process and the in silico design of treatment strategies. This review describes the most important causes of failure of the wound and bone fracture healing processes and the experimental models and methods used to investigate and treat these impaired healing cases. Furthermore, the mathematical models that are described address these impaired healing cases and investigate various therapeutic scenarios in silico. Examples are provided to illustrate the potential of these in silico experiments. Finally, limitations of the models and the need for and ability of these models to capture patient specificity and variability are discussed.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/70336
10.1098/rsta.2010.0056

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