Examples of multiscale and multiphysics numerical modeling of biological tissues.

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Title: Examples of multiscale and multiphysics numerical modeling of biological tissues.
Authors: George, Daniel1,2 george@unistra.fr, Spingarn, Camille1, Dissaux, Caroline3, Nierenberger, Mathieu1, Rahman, Ranya Abdel4, Rémond, Yves1,2
Source: Bio-Medical Materials & Engineering. 2017 Supplement, Vol. 28, pS15-S27. 13p.
Subjects: Tissues -- Models, Prediction models, Mathematical models, Histology, Biomaterials
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. [ABSTRACT FROM AUTHOR]
Copyright of Bio-Medical Materials & Engineering is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="DE" term="%22Tissues+--+Models%22">Tissues -- Models</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Histology%22">Histology</searchLink><br /><searchLink fieldCode="DE" term="%22Biomaterials%22">Biomaterials</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Bio-Medical Materials & Engineering is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.3233/BME-171621
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: S15
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      – SubjectFull: Tissues -- Models
        Type: general
      – SubjectFull: Prediction models
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      – SubjectFull: Mathematical models
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      – SubjectFull: Histology
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      – SubjectFull: Biomaterials
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              Text: 2017 Supplement
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              Y: 2017
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              Value: 28
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