Biomechanical modelling in nanomedicine: multiscale approaches and future challenges

Taffetani, M., de Falco, C., Penta, R. , Ambrosi, D. and Ciarletta, P. (2014) Biomechanical modelling in nanomedicine: multiscale approaches and future challenges. Archive of Applied Mechanics, 84(9-11), pp. 1627-1645. (doi: 10.1007/s00419-014-0864-8)

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Abstract

Nanomedicine is the branch of nanotechnology devoted to the miniaturization of devices and to the functionalization of processes for the diagnosis and the design of tools of clinical use. In the perspective to develop patient-specific treatments and effective therapies against currently incurable diseases, biomechanical modelling plays a key role in enabling their translation to clinical practice. Establishing a dynamic interaction with experiments, a modelling approach is expected to allow investigating problems with lower economic burden, evaluating a larger range of conditions. Since biological systems have a wide range of typical characteristic length and timescales, a multiscale modelling approach is necessary both for providing a proper description of the biological complexity at the single scales and for keeping the largest amount of functional interdependence among them. This work starts with a survey both of the common frameworks for modelling a biological system, at scales from atoms to a continuous distribution of matter, and of the available multiscale methods that link the different levels of investigation. In the following, we define an original approach for dealing with the specific case of transport and diffusion of nanoparticles and/or drug-delivery carriers from the systemic circulation to a target tissue microstructure. Using a macro–micro viewpoint, we discuss the existing multiscale approaches and we propose few original strategies for overcoming their limitations in bridging scales. In conclusion, we highlight and critically discuss the future challenges of multiscale modelling for achieving the long-term objective to assist the nanomedical research in proposing more accurate clinical approaches for improved medical benefit.

Item Type:Articles
Additional Information:This work is partially funded by the “Start-up Packages and PhD Program project”, co-funded by Regione Lombardia through the “Fondo per lo sviluppo e la coesione 2007-2013”, formerly FAS programme.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Penta, Dr Raimondo
Authors: Taffetani, M., de Falco, C., Penta, R., Ambrosi, D., and Ciarletta, P.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Mathematics
Journal Name:Archive of Applied Mechanics
Publisher:Springer
ISSN:0939-1533
ISSN (Online):1432-0681
Published Online:01 July 2014

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