Unified Network for International Cancer Advancement (UNICA)

The UNICA project aims to extend the European Cancer Imaging Initiative (EUCAIM) by adding breast, lung, and prostate cancer screening imaging data to its federated infrastructure. By contributing data from different regions across Europe, including underrepresented areas, UNICA will ensure the availability of diverse and representative datasets for research and innovation. This project addresses the need for innovative approaches to cancer prevention, detection, and treatment, ensuring alignment with key EU initiatives. The objectives of the project include extending the geographical coverage of the initiative, while standardising the data through FAIR principles in line with EUCAIM requirements and interoperability specifications, also supporting the European Health Data Space and the EEHRxF. In addition, UNICA aims to demonstrate the adoption and integration of AI-based technologies for cancer image analysis by piloting advanced AI models. At the same time, the project will actively promote patient data altruism through targeted communication strategies and dissemination efforts. These objectives will be achieved by facilitating the aggregation and secure sharing of de-identified cancer imaging and clinical data from screening programmes. The project will involve 12 medical centres and aims to achieve EUCAIM Tier 3 integration, drawing on the expertise of project partners gained in EU-funded federated networks. The project is highly relevant to the work programme as it directly supports Europe's Beating Cancer Plan and EUCAIM. By increasing the availability of high-quality cancer imaging data and fostering the development of AI-based solutions, the project aims to improve cancer screening, early detection, and overall patient outcomes across Europe. This is in line with the EU's objectives to improve cancer treatment and care through digital technologies, enabling faster and more accurate clinical decision-making, diagnostics, and predictive medicine.