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Data‐driven simulation of metastatic processes within brain tissue

Data‐driven simulation of metastatic processes within brain tissue The modelling of biological processes like the metastasation of lung cancer in brain tissue requires the inclusion of the major processes at the metastasis site as well as to identify model parameters from experiments. In this regard, experimental data from proliferation, malnutrition and drug experiments are embedded into a continuum‐mechanical metastases model. Successfully implemented, such models can serve as prototype tools to estimate the metastases growth and response to therapeutic applications. (© 2017 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Proceedings in Applied Mathematics & Mechanics Wiley

Data‐driven simulation of metastatic processes within brain tissue

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References (2)

Publisher
Wiley
Copyright
Copyright © 2017 Wiley Subscription Services, Inc., A Wiley Company
ISSN
1617-7061
eISSN
1617-7061
DOI
10.1002/pamm.201710080
Publisher site
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Abstract

The modelling of biological processes like the metastasation of lung cancer in brain tissue requires the inclusion of the major processes at the metastasis site as well as to identify model parameters from experiments. In this regard, experimental data from proliferation, malnutrition and drug experiments are embedded into a continuum‐mechanical metastases model. Successfully implemented, such models can serve as prototype tools to estimate the metastases growth and response to therapeutic applications. (© 2017 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)

Journal

Proceedings in Applied Mathematics & Mechanics – Wiley

Published: Dec 1, 2017

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