B3CARE XNAT-Based Research Infrastructure for Imaging Biomarker Evaluation


The B3CARE project aims to validate and evaluate imaging biomarkers for the Big-3 diseases (lung cancer, COPD, and cardiovascular disease). To this end a large-scale, high- quality imaging data biobank is established containing data from different projects resulting in about 70,000 examinations all stored in the XNAT opensource platform and part of the virtual research environment (VRE) of the UMCG. To explore imaging biomarkers different. AI solutions are integrated using several methodologies.

Data Science Centre in Health
Peter van Ooijen
Coordinator Machine Learning Lab