The applications of nanotechnology in medical devices, diagnosis and drug delivery

Author(s):  
M. Wilkinson
2011 ◽  
Vol 8 (4) ◽  
pp. 459-482 ◽  
Author(s):  
Martin J Garland ◽  
Katarzyna Migalska ◽  
Tuan Mazlelaa Tuan Mahmood ◽  
Thakur Raghu Raj Singh ◽  
A David Woolfson ◽  
...  

Nanomedicine ◽  
2015 ◽  
Vol 10 (14) ◽  
pp. 2289-2305 ◽  
Author(s):  
Sourav Bhattacharjee ◽  
David J Brayden

2019 ◽  
Vol 79 (6) ◽  
pp. 2456-2478 ◽  
Author(s):  
R. Bernardes ◽  
J. A. Ferreira ◽  
M. Grassi ◽  
M. Nhangumbe ◽  
P. de Oliveira

2022 ◽  
pp. 2108491
Author(s):  
Minhong Tan ◽  
Yang Xu ◽  
Ziqi Gao ◽  
Tiejun Yuan ◽  
Qingjun Liu ◽  
...  

Biomaterials ◽  
2017 ◽  
Vol 128 ◽  
pp. 56-68 ◽  
Author(s):  
Ioanna Mylonaki ◽  
Éric Allémann ◽  
François Saucy ◽  
Jacques-Antoine Haefliger ◽  
Florence Delie ◽  
...  

Author(s):  
Jens Vinge Nygaard

Modeling and simulation of medical devices are typically established in order to identify parameter dependencies within the system of interest. Most devices are multiphysics problems in the sense that coupling can occur between for instance flow, structure, and temperature. In many systems individual and dependent mechanisms are present bridging length scales from nanometer to millimeter. Typically, the geometries of interest are described by the complex morphology of the components in biological tissues. These factors all contribute to significant complexity of the numerical models being developed. Access to imaging modalities capable of providing the geometrical information of relevance to the problems is central in the establishment and verification of numerical analysis. This abstract present how we used image based models obtained from MRI and CT datasets to risk access patients prone to realizing stroke, and how a scaffold technology for tissue engineering is analyzed both in vitro and in vivo to access its drug delivery capability and biocompatibility.


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