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http://hdl.handle.net/1942/37834
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DC Field | Value | Language |
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dc.contributor.author | Petsophonsakul, Ploingarm | - |
dc.contributor.author | PIRMANI, Ashkan | - |
dc.contributor.author | DE BROUWER, Edward | - |
dc.contributor.author | Akand, Murat | - |
dc.contributor.author | Botermans, Wouter | - |
dc.contributor.author | Van Der Aa, Frank | - |
dc.contributor.author | Vermeesch, Joris Robert | - |
dc.contributor.author | Offner, Fritz | - |
dc.contributor.author | Wuyts, Roel | - |
dc.contributor.author | Moreau, Yves | - |
dc.contributor.author | Maes, Ingrid | - |
dc.contributor.author | Blockx, Ines | - |
dc.contributor.author | Van Rompuy, Patricia | - |
dc.contributor.author | Lewi, Martine | - |
dc.contributor.author | VANNIEUWENHUYSE, Bart | - |
dc.date.accessioned | 2022-07-28T13:31:21Z | - |
dc.date.available | 2022-07-28T13:31:21Z | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2022-06-15T11:30:54Z | - |
dc.identifier.citation | Séroussi, B.; Weber, P.; Dhombres, F.; Grouin, C.; Liebe, J.; Pelayo, S.; Pinna, A.; Rance, B.; Sacchi, L.; Ugon, A.; Benis, A.; Gallos, P. (Eds.). Volume 294: Challenges of Trustable AI and Added-Value on Health, p. 829 -833 | - |
dc.identifier.isbn | 9781643682846 | - |
dc.identifier.isbn | 9781643682853 | - |
dc.identifier.uri | http://hdl.handle.net/1942/37834 | - |
dc.description.abstract | The complexity and heterogeneity of cancers leads to variable responses of patients to treatments and interventions. Developing models that accurately predict patient's care pathways using prognostic and predictive biomarkers is increasingly important in both clinical practice and scientific research. The main objective of the ATHENA project is to: (1) accelerate data driven precision medicine for two use cases-bladder cancer and multiple myeloma, (2) apply distributed and privacy-preserving analytical methods/ algorithms to stratify patients (decision support), (3) help healthcare professionals deliver earlier and better targeted treatments, and (4) explore care pathway automations and improve outcomes for each patient. Challenges associated with data sharing and integration will be addressed and an appropriate federated data ecosystem will be created, enabling an interoperable foundation for data exchange, analysis and interpretation. By combining multidisciplinary expertise and tackling knowledge gaps in ATHENA, we propose a novel federated privacy preserving platform for oncology research. | - |
dc.language.iso | en | - |
dc.relation.ispartofseries | Studies in Health Technology and Informatics | - |
dc.rights | 2022 European Federation for Medical Informatics (EFMI) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). | - |
dc.subject.other | Precision medicine | - |
dc.subject.other | Federated platform | - |
dc.subject.other | Machine learning | - |
dc.subject.other | Distributed analytics | - |
dc.subject.other | Data science 1 Corresponding Author | - |
dc.subject.other | Ploingarm Petsophonsakul; | - |
dc.title | Augmenting THerapeutic Effectiveness Through Novel Analytics (ATHENA) – A Public and Private Partnership Project Funded by the Flemish Government (VLAIO) | - |
dc.type | Book Section | - |
local.bibliographicCitation.authors | Séroussi, Brigitte | - |
local.bibliographicCitation.authors | Weber, Patrick | - |
local.bibliographicCitation.authors | Dhombres, Ferdinand | - |
local.bibliographicCitation.authors | Grouin, Cyril | - |
local.bibliographicCitation.authors | Liebe, Jan-David | - |
local.bibliographicCitation.authors | Pelayo, Sylvia | - |
local.bibliographicCitation.authors | Pinna, Andrea | - |
local.bibliographicCitation.authors | Rance, Bastien | - |
local.bibliographicCitation.authors | Sacchi, Lucia | - |
local.bibliographicCitation.authors | Ugon, Adrien | - |
local.bibliographicCitation.authors | Benis, Arriel | - |
local.bibliographicCitation.authors | Gallos, Parisis | - |
dc.identifier.epage | 833 | - |
dc.identifier.spage | 829 | - |
local.bibliographicCitation.jcat | B2 | - |
local.type.refereed | Refereed | - |
local.type.specified | Book Section | - |
local.relation.ispartofseriesnr | 294 | - |
dc.identifier.doi | 10.3233/shti220601 | - |
local.provider.type | CrossRef | - |
local.uhasselt.international | no | - |
item.fulltext | With Fulltext | - |
item.accessRights | Open Access | - |
item.fullcitation | Petsophonsakul, Ploingarm; PIRMANI, Ashkan; DE BROUWER, Edward; Akand, Murat; Botermans, Wouter; Van Der Aa, Frank; Vermeesch, Joris Robert; Offner, Fritz; Wuyts, Roel; Moreau, Yves; Maes, Ingrid; Blockx, Ines; Van Rompuy, Patricia; Lewi, Martine & VANNIEUWENHUYSE, Bart (2022) Augmenting THerapeutic Effectiveness Through Novel Analytics (ATHENA) – A Public and Private Partnership Project Funded by the Flemish Government (VLAIO). In: Séroussi, B.; Weber, P.; Dhombres, F.; Grouin, C.; Liebe, J.; Pelayo, S.; Pinna, A.; Rance, B.; Sacchi, L.; Ugon, A.; Benis, A.; Gallos, P. (Eds.). Volume 294: Challenges of Trustable AI and Added-Value on Health, p. 829 -833. | - |
item.contributor | Petsophonsakul, Ploingarm | - |
item.contributor | PIRMANI, Ashkan | - |
item.contributor | DE BROUWER, Edward | - |
item.contributor | Akand, Murat | - |
item.contributor | Botermans, Wouter | - |
item.contributor | Van Der Aa, Frank | - |
item.contributor | Vermeesch, Joris Robert | - |
item.contributor | Offner, Fritz | - |
item.contributor | Wuyts, Roel | - |
item.contributor | Moreau, Yves | - |
item.contributor | Maes, Ingrid | - |
item.contributor | Blockx, Ines | - |
item.contributor | Van Rompuy, Patricia | - |
item.contributor | Lewi, Martine | - |
item.contributor | VANNIEUWENHUYSE, Bart | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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SHTI-294-SHTI220601.pdf | Published version | 271.23 kB | Adobe PDF | View/Open |
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