After joining the REVAMMAD project, I started a training about machine learning techniques focusing on ensemble methods. Later, in the frame of the data warehouse task, I started to plan an application for data and algorithm sharing together with the Orobix team. In order to best suit the needs of the collaboration, I developed a system that supports both centralized and peer-to-peer exchange of datasets and algorithms, also exploiting the software libraries currently being developed in an open source project (DAT project). Most of the time of this reporting period has been dedicated to the implementation and the deployment of a prototype of this application. More recently, I began to investigate the application of artificial neural networks for segmentation tasks in medical imaging.