Examples of multiscale and multiphysics numerical modeling of biological tissues

Issue title: Selected papers from the 6th China–France International Symposium “Stem Cells and Regenerative Medicine” and the first meeting of the France–China International CNRS Network (GDRI) CeSMeR, Nancy, 10–13 July 2016

Guest editors: J.-F. Stoltz, J. Magdalou and D. Bensoussan

Article type: Research Article

Authors: George, Daniel^{a; b; *} | Spingarn, Camille^a | Dissaux, Caroline^c | Nierenberger, Mathieu^a | Rahman, Ranya Abdel^d | Rémond, Yves^{a; b}

Affiliations: [a] ICube Laboratory, University of Strasbourg, CNRS, 2 rue Boussingault, 67000 Strasbourg, France | [b] International Center MEMOCS, University del Aquila, Palazzo Caetani, Cisterna di Latina, Italy | [c] Service of Maxillo-Facial Surgery and Stomatology, Strasbourg University Hospital, 1 place de l’Hôpital, 67000 Strasbourg, France | [d] The French University of Egypt, El Chourouq city, Cairo, Egypt

Correspondence: [*] Corresponding author. E-mail: [email protected].

Abstract: Predictive theoretical–numerical modeling of the behavior and evolution of biological tissue is a difficult task since many of the required knowledge tools (experimental, theoretical and numerical) are still not well understood. We present here some methodologies and results specific to multiscale and multiphysics numerical modeling of biological tissues applied to the predictive behavior of cortical veins depending on their local constituents’ microstructure and for bone remodeling and reconstruction as a function of the local mechanobiology. Although further work is required to improve the accuracy of the developed models, the proposed approaches highlight their potential usefulness for understanding the mechanical-biological couplings, short and long term predictions of biological evolutions as well as possible further transfer to medical applications.

Keywords: Multiscale, mechanobiology, numerical modeling, homogenization, vein, bone

DOI: 10.3233/BME-171621

Journal: Bio-Medical Materials and Engineering, vol. 28, no. s1, pp. S15-S27, 2017