PRODIGE: PRediction models in prOstate cancer for personalized meDIcine challenGE

Identifying the best care for a patient can be extremely challenging. To support the creation of multifactorial Decision Support Systems (DSSs), we propose an Umbrella Protocol, focusing on prostate cancer.

The PRODIGE project consisted of a workflow for standardizing data, and procedures, to create a consistent dataset useful to elaborate DSSs. Techniques from classical statistics and machine learning will be adopted. The general protocol accepted by our Ethical Committee can be downloaded from .

A standardized knowledge sharing process has been implemented by using a semi-formal ontology for the representation of relevant clinical variables.

The development of DSSs, based on standardized knowledge, could be a tool to achieve a personalized decision-making.

Future oncology (London, England). 2017 Jul 31 [Epub ahead of print]

A R Alitto, R Gatta, Bgl Vanneste, M Vallati, E Meldolesi, A Damiani, V Lanzotti, G C Mattiucci, V Frascino, C Masciocchi, F Catucci, A Dekker, P Lambin, V Valentini, G Mantini

Radiation Oncology Area, Gemelli-ART, Catholic University of the Sacred Heart, Rome, Italy., Department of Radiation Oncology (MAASTRO), GROW - School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands., School of Computing & Engineering, University of Huddersfield, Huddersfield, UK.


Newsletter subscription

Free Daily and Weekly newsletters offered by content of interest

The fields of GU Oncology and Urology are rapidly advancing. Sign up today for articles, videos, conference highlights and abstracts from peer-review publications by disease and condition delivered to your inbox and read on the go.