An integrated computational approach for the design of patient-specific virtual tumours
Duration: 44 mins 34 secs
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About this item
| Description: |
Stéphanou, A (CNRS (Centre national de la recherche scientifique), Université Joseph Fourier Grenoble)
Monday 7th December 2015 - 13:30 to 14:15 |
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| Created: | 2015-12-21 10:11 |
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| Collection: | Coupling Geometric PDEs with Physics for Cell Morphology, Motility and Pattern Formation |
| Publisher: | Isaac Newton Institute |
| Copyright: | Stéphanou, A |
| Language: | eng (English) |
| Distribution: |
World
(downloadable)
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| Explicit content: | No |
| Aspect Ratio: | 16:9 |
| Screencast: | No |
| Bumper: | UCS Default |
| Trailer: | UCS Default |
| Abstract: | The design of a patient-specific virtual tumour is an important step towards personalized medicine since the virtual tumour can be used to define the most adapted and efficient treatment protocol. However this requires to capture the description of many key events of tumour development, including angiogenesis, matrix remodelling, hypoxia, cell heterogeneity that will all influence the tumour growth kinetics and degree of tumour invasiveness. To that end, an integrated hybrid and multiscale approach has been developed based on data acquired on a preclinical mouse model as a proof of concept. Fluorescence imaging is exploited to build case-specific virtual tumours and to validate their spatiotemporal evolution. The validity of the model will be discussed as well as its potential to identify the best therapeutic strategy for each individual tumour case. |
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