Fiche publication
Date publication
février 2018
Journal
Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
Auteurs
Membres identifiés du Cancéropôle Est :
Pr NOEL Georges
,
Dr LE FEVRE Clara
Tous les auteurs :
Le Fèvre C, Poty L, Noël G
Lien Pubmed
Résumé
The many advances in data collection computing systems (data collection, database, storage), diagnostic and therapeutic possibilities are responsible for an increase and a diversification of available data. Big data offers the capacities, in the field of health, to accelerate the discoveries and to optimize the management of patients by combining a large volume of data and the creation of therapeutic models. In radiotherapy, the development of big data is attractive because data are very numerous et heterogeneous (demographics, radiomics, genomics, radiogenomics, etc.). The expectation would be to predict the effectiveness and tolerance of radiation therapy. With these new concepts, still at the preliminary stage, it is possible to create a personalized medicine which is always more secure and reliable.
Mots clés
Big data, Cancer, Genomics, Génomique, Modèle prédictif, Predictive model, Radiosensibilité, Radiosensitivity, Radiotherapy, Radiothérapie
Référence
Cancer Radiother. 2018 02;22(1):73-84
