A systematic framework for the design, simulation and optimization of personalized healthcare: Making and healing blood
File(s)CACE-A systematic framework-final.pdf (2.51 MB)
Accepted version
Author(s)
Type
Journal Article
Abstract
We review the key building blocks of a design framework for modeling and optimizing biomedical systems under development in the Biological Systems Engineering Laboratory and the Centre for Process Systems Engineering at Imperial College. The framework features the following components: (i) in vitro environment, where model parameters can be obtained and new setups can be tested; (ii) in silico environment, including a simulation module for representing relevant physical or biological processes, and an optimization module, for calculating improved in vitro or in vivo outcomes; (iii) in vivo environment, from which organ and patient-specific parameters are collected and which can also implement personalized suggestions for improved outcomes. Two applications in the area of healthy and diseased blood are thoroughly discussed to exemplify the framework's characteristics. We discuss progress in the different areas and the way in which they are connected and finally propose a hybrid in vitro/in silico/in vivo platform.
Date Issued
2015-04-10
Date Acceptance
2015-03-17
Citation
Computers and Chemical Engineering, 2015, 81, pp.80-93
ISSN
1873-4375
Publisher
Elsevier
Start Page
80
End Page
93
Journal / Book Title
Computers and Chemical Engineering
Volume
81
Copyright Statement
© 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Publication Status
Published