Tartarini, D., Viceconti, M., Gruel, N. et al. (2 more authors) (2014) The VPH Hypermodelling framework for cancer multiscale models in the clinical practice. In: In Silico Oncology and Cancer Investigation (IARWISOCI), 2014 6th International Advanced Research Workshop on. Proceedings of the 2014 6th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation - The CHIC Project Workshop (IARWISOCI) , 03-04 Nov 2014, Athens. Institute of Electrical and Electronics Engineers
Abstract
The VPH Hypermodelling framework is a collaborative computational platform providing a complete Problem Solving Environment to execute, on distributed computational architectures, sophisticated predictive models involving patient medical data or specialized repositories. In the CHIC' project, it will be enhanced to support clinicians in providing prompt personalised cancer treatments. It supports several computational architectures with strict security policies.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 10 Dec 2015 17:31 |
Last Modified: | 19 Dec 2022 13:32 |
Published Version: | https://dx.doi.org/10.1109/IARWISOCI.2014.7034642 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/IARWISOCI.2014.7034642 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:90653 |