000096251 001__ 96251
000096251 005__ 20230622083315.0
000096251 0247_ $$2doi$$a10.1186/s41747-020-00150-9
000096251 0248_ $$2sideral$$a117818
000096251 037__ $$aART-2020-117818
000096251 041__ $$aeng
000096251 100__ $$aMartí-Bonmatí, L.
000096251 245__ $$aPRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers
000096251 260__ $$c2020
000096251 5060_ $$aAccess copy available to the general public$$fUnrestricted
000096251 5203_ $$aPRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, artificial intelligence and cancer treatment in children. It is a 4-year European Commission-financed project that has 16 European partners in the consortium, including the European Society for Paediatric Oncology, two imaging biobanks, and three prominent European paediatric oncology units. The project is constructed as an observational in silico study involving high-quality anonymised datasets (imaging, clinical, molecular, and genetics) for the training and validation of machine learning and multiscale algorithms. The open cloud-based platform will offer precise clinical assistance for phenotyping (diagnosis), treatment allocation (prediction), and patient endpoints (prognosis), based on the use of imaging biomarkers, tumour growth simulation, advanced visualisation of confidence scores, and machine-learning approaches. The decision support prototype will be constructed and validated on two paediatric cancers: neuroblastoma and diffuse intrinsic pontine glioma. External validation will be performed on data recruited from independent collaborative centres. Final results will be available for the scientific community at the end of the project, and ready for translation to other malignant solid tumours.
000096251 536__ $$9info:eu-repo/grantAgreement/EC/H2020/826494/EU/PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers/PRIMAGE$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 826494-PRIMAGE
000096251 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000096251 592__ $$a1.096$$b2020
000096251 593__ $$aRadiology, Nuclear Medicine and Imaging$$c2020$$dQ1
000096251 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000096251 700__ $$aAlberich-Bayarri, Á.
000096251 700__ $$aLadenstein, R.
000096251 700__ $$aBlanquer, I.
000096251 700__ $$aSegrelles, J.D.
000096251 700__ $$aCerdá-Alberich, L.
000096251 700__ $$aGkontra, P.
000096251 700__ $$aHero, B.
000096251 700__ $$0(orcid)0000-0002-9864-7683$$aGarcía-Aznar, J.M.$$uUniversidad de Zaragoza
000096251 700__ $$aKeim, D.
000096251 700__ $$aJentner, W.
000096251 700__ $$aSeymour, K.
000096251 700__ $$aJiménez-Pastor, A.
000096251 700__ $$aGonzález-Valverde, I.
000096251 700__ $$aMartínez de Las Heras, B.
000096251 700__ $$aEssiaf, S.
000096251 700__ $$aWalker, D.
000096251 700__ $$aRochette, M.
000096251 700__ $$aBubak, M.
000096251 700__ $$aMestres, J.
000096251 700__ $$aViceconti, M.
000096251 700__ $$aMartí-Besa, G.
000096251 700__ $$aCañete, A.
000096251 700__ $$aRichmond, P.
000096251 700__ $$aWertheim, K.Y.
000096251 700__ $$aGubala, T.
000096251 700__ $$aKasztelnik, M.
000096251 700__ $$aMeizner, J.
000096251 700__ $$aNowakowski, P.
000096251 700__ $$aGilpérez, S.
000096251 700__ $$aSuárez, A.
000096251 700__ $$aAznar, M.
000096251 700__ $$aRestante, G.
000096251 700__ $$aNeri, E.
000096251 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000096251 773__ $$g4, 1 (2020), 22$$pEuropean radiol. exp.$$tEuropean radiology experimental$$x2509-9280
000096251 8564_ $$s1146921$$uhttps://zaguan.unizar.es/record/96251/files/texto_completo.pdf$$yVersión publicada
000096251 8564_ $$s40594$$uhttps://zaguan.unizar.es/record/96251/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
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000096251 951__ $$a2023-06-21-15:01:39
000096251 980__ $$aARTICLE