Reference : In silico biology of bone modelling and remodelling: regeneration.
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/70332
In silico biology of bone modelling and remodelling: regeneration.
English
Geris, Liesbet mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Génie biomécanique >]
Vander Sloten, J. [>Division of Biomechanics and Engineering Design, Katholieke Universiteit Leuven, Celestijnenlaan 300C, PB 2419, 3001 Leuven, Belgium > > > > > >]
Van Oosterwyck, H. [>Division of Biomechanics and Engineering Design, Katholieke Universiteit Leuven, Celestijnenlaan 300C, PB 2419, 3001 Leuven, Belgium > > > > > >]
2009
Philosophical Transactions : Mathematical, Physical & Engineering Sciences
Royal Society
367
1895
2031-53
Yes (verified by ORBi)
International
1364-503X
1471-2962
[en] bone regeneration ; mechanobiology ; modelling
[en] Bone regeneration is the process whereby bone is able to (scarlessly) repair itself from trauma, such as fractures or implant placement. Despite extensive experimental research, many of the mechanisms involved still remain to be elucidated. Over the last decade, many mathematical models have been established to investigate the regeneration process in silico. The first models considered only the influence of the mechanical environment as a regulator of the healing process. These models were followed by the development of bioregulatory models where mechanics was neglected and regeneration was regulated only by biological stimuli such as growth factors. The most recent mathematical models couple the influences of both biological and mechanical stimuli. Examples are given to illustrate the added value of mathematical regeneration research, specifically in the in silico design of treatment strategies for non-unions. Drawbacks of the current continuum-type models, together with possible solutions in extending the models towards other time and length scales are discussed. Finally, the demands for dedicated and more quantitative experimental research are presented.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/70332
10.1098/rsta.2008.0293

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