This is a technology or research stand, located in Zone R5 - Digital Society. Stand number: R5-15
HAMAM is a three-year FP7 project that started work in 2008 on the early detection and diagnosis of breast cancer.
This exhibit presents the HAMAM or ‘highly accurate breast cancer diagnosis through integration of biological knowledge, novel imaging modalities, and modelling’ project. Despite tremendous advances in modern imaging technology, both early detection and accurate diagnosis of breast cancer are still unresolved challenges. Unnecessary biopsies are taken and tumours can go undetected until a stage where their therapy is costly or unsuccessful. HAMAM is tackling this by seamlessly integrating the available multi-modal images and patient information in a single clinical workstation. This will form the basis for subsequent clinical and methodological studies and the database set-up will offer a framework for additional research efforts in the field of biomedical imaging.
Coordinator: Sonja GUTTENBRUNNER (EIBIR, Austria)