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Hybrid data-based modelling in oncology: successes, challenges and hopes

Angélique Stéphanou, Pascal Ballet, Gibin Powathil Orcid Logo

Mathematical Modelling of Natural Phenomena, Volume: 15, Start page: 21

Swansea University Author: Gibin Powathil Orcid Logo

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DOI (Published version): 10.1051/mmnp/2019026

Published in: Mathematical Modelling of Natural Phenomena
ISSN: 0973-5348 1760-6101
Published: EDP Sciences 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa50956
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first_indexed 2019-06-28T14:55:50Z
last_indexed 2019-09-25T14:17:17Z
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spelling 2019-09-25T11:57:33.2103702 v2 50956 2019-06-28 Hybrid data-based modelling in oncology: successes, challenges and hopes f23646a94239f673e2a43ebe7397aabd 0000-0002-8372-7349 Gibin Powathil Gibin Powathil true false 2019-06-28 SMA Journal Article Mathematical Modelling of Natural Phenomena 15 21 EDP Sciences 0973-5348 1760-6101 Cancer, multi-scales, personalised medicine, systems oncology, treatment optimization 12 3 2020 2020-03-12 10.1051/mmnp/2019026 COLLEGE NANME Mathematics COLLEGE CODE SMA Swansea University 2019-09-25T11:57:33.2103702 2019-06-28T10:25:20.5921866 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Angélique Stéphanou 1 Pascal Ballet 2 Gibin Powathil 0000-0002-8372-7349 3 50956__17026__c9f638c0b8764b8086a8248a5ac860a0.pdf 50956VOR.pdf 2020-04-07T18:01:40.3434550 Output 415449 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution License (CC-BY). true eng http://creativecommons.org/licenses/by/4.0
title Hybrid data-based modelling in oncology: successes, challenges and hopes
spellingShingle Hybrid data-based modelling in oncology: successes, challenges and hopes
Gibin Powathil
title_short Hybrid data-based modelling in oncology: successes, challenges and hopes
title_full Hybrid data-based modelling in oncology: successes, challenges and hopes
title_fullStr Hybrid data-based modelling in oncology: successes, challenges and hopes
title_full_unstemmed Hybrid data-based modelling in oncology: successes, challenges and hopes
title_sort Hybrid data-based modelling in oncology: successes, challenges and hopes
author_id_str_mv f23646a94239f673e2a43ebe7397aabd
author_id_fullname_str_mv f23646a94239f673e2a43ebe7397aabd_***_Gibin Powathil
author Gibin Powathil
author2 Angélique Stéphanou
Pascal Ballet
Gibin Powathil
format Journal article
container_title Mathematical Modelling of Natural Phenomena
container_volume 15
container_start_page 21
publishDate 2020
institution Swansea University
issn 0973-5348
1760-6101
doi_str_mv 10.1051/mmnp/2019026
publisher EDP Sciences
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics
document_store_str 1
active_str 0
published_date 2020-03-12T04:02:40Z
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score 11.013619

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