An empirical model linking physico-chemical biomaterial characteristics to intra-oral bone formation

Scope of the method

The Method relates to
  • Animal health
  • Human health
The Method is situated in
  • Basic Research
Type of method
  • In silico
This method makes use of
  • Animal derived cells / tissues / organs
Species from which cells/tissues/organs are derived
bilateral sinus lift procedures in rabbits
Type of cells/tissues/organs
Intra-oral bone region


Method keywords
  • Empirical modeling
  • intra-oral bone formation
  • calcium phosphate
  • physico-chemical
  • biomaterials
Scientific area keywords
  • Bone tissue engineering
  • Intra-oral bone regeneration
  • insilico medicine
  • physico-chemical characterization
  • scaffold design
Method description

This empirical model is used to assess the weighted value of driving biomaterials properties in the intra-oral bone regeneration process. We used partial least square regression (PLSR) to construct empirical models that relate combinations of (quantified) biomaterial characteristics to intra-oral bone regeneration outcomes across diverse types of bone biomaterials. This computational method uses linear correlation to reduce the dispersion of a multi-variate data set by identifying the most important information from the original data set.

Lab equipment

Any characterization method that provides a quantified physico-chemical specification of scaffolds (e.g. mechanical characterization, surface roughness analysis, macroporosity measurement, etc.).

Method status
  • Internally validated

Pros, cons & Future potential


The model provides a way to identify driving biomaterial properties and morphological cues of the intra-oral bone healing process as well as predict the bone regeneration potential of new biomaterials based on their physico-chemical characteristics.


The model should be fed with the quantified characteristics of scaffolds obtained from high-quality characterizations.


More samples with a wider range of physico-chemical characteristics would further increase the robustness of the model.

Future & Other applications

Biological agents (drugs, growth factors, etc.) could be drawn into the analysis in future research. The interplay between physico-chemical biomaterial factors and biological ones could also be assessed quantitatively for the intra-oral bone biomaterials. This model can be also applied to other areas of tissue engineering.

References, associated documents and other information

  • 1- E. Sadeghian Dehkord, G. Kerckhofs, P. Compère, F. Lambert, L. Geris, An empirical model linking physico-chemical biomaterial characteristics to intra-oral bone formation (to-be-submitted)
  • 2- G. Kerckhofs, Y.C. Chai, F.P. Luyten, L. Geris, Combining microCT-based characterization with empirical modelling as a robust screening approach for the design of optimized CaP-containing scaffolds for progenitor cell-mediated bone formation, Acta Biomater. 35 (2016) 330–340.
  • 3- S.J. Roberts, L. Geris, G. Kerckhofs, E. Desmet, J. Schrooten, F.P. Luyten, The combined bone forming capacity of human periosteal derived cells and calcium phosphates, Biomaterials. 32 (2011) 4393–4405.
  • 4- J. Bolander, W. Ji, L. Geris, V. Bloemen, Y.C. Chai, J. Schrooten, F.P. Luyten, The combined mechanism of bone morphogenetic protein- and calcium phosphate-induced skeletal tissue formation by human periosteum derived cells, Eur Cell Mater. 31 (2016) 11–25.
  • 5- W. Ji, G. Kerckhofs, C. Geeroms, M. Marechal, L. Geris, F.P. Luyten, Deciphering the combined effect of bone morphogenetic protein 6 and calcium phosphate on bone formation capacity of periosteum derived cells-based tissue engineering constructs, Acta Biomater. 80 (2018) 97–107.
Other remarks

Designing the optimized bone graft for intra-oral applications involves many parameters that directly affect the bone regeneration rate in the defect site. Thus, in order to obtain the optimal scaffold design for a specific application, more insight should be achieved into the influence of biomaterials characteristics on the regeneration process.

Contact person

Ehsan Sadeghian


University of Liège (ULiège)
GIGA in silico medicine
Biomechanics Research Unit


Katholieke Universiteit Leuven (KUL), University of Liège (ULiège), Université Catholique de Louvain (UCL)