Augmenting THerapeutic Effectiveness Through Novel Analytics (ATHENA) - A Public and Private Partnership Project Funded by the Flemish Government (VLAIO)...32nd Medical Informatics Europe Conference (MIE2022), 27-30 May, 2022, Nice, France.
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 researc...
| Publicado en: | Studies in Health Technology & Informatics Vol. 294; pp. 829 - 834 |
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| Autores principales: | , , , , , , , , , , , , , , |
| Formato: | proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157268567&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157268567 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2022 vid: 294 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 157268567 157268567 157268567 10.3233/SHTI220601 157268567 ppf: 829 ppct: 5 formats: tig: atl: Augmenting THerapeutic Effectiveness Through Novel Analytics (ATHENA) - A Public and Private Partnership Project Funded by the Flemish Government (VLAIO)...32nd Medical Informatics Europe Conference (MIE2022), 27-30 May, 2022, Nice, France. aug: au: PETSOPHONSAKUL, Ploingarm PIRMANI, Ashkan BROUWER, Edward DE AKAND, Murat BOTERMANS, Wouter DER AA, Frank VAN VERMEESCH, Joris Robert OFFNER, Fritz WUYTS, Roel MOREAU, Yves MAES, Ingrid BLOCKX, Ines ROMPUY, Patricia VAN LEWI, Martine VANNIEUWENHUYSE, Bart affil: Janssen R&D/Clinical Innovation, Belgium. sug: subj: Therapeutics Collaboration Financing, Government Belgium Private Sector Public Sector Individualized Medicine Bladder Neoplasms Therapy Multiple Myeloma Therapy Algorithms Decision Making, Patient Health Care Delivery Treatment Outcomes Human Quality Improvement Belgium Neoplasms Therapy Patient Care Data Science ab: 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. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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