Combining advances in imaging technology for cancer diagnosis and treatment and the EU’s General Data Protection Regulation (GDPR), the project EuCanImage, financed under the Horizon 2020 initative, aspires to construct a secure platform to link imaging datasets with biological and health cancer data. The GDPR-compliant and scalable platform can thus exploit the full potential of large-scale, high-quality and interoperable cancer imaging datasets by integrating advanced capabilities and new standards, leading to support systems for integrated decision for increased clinical trust and adoption. The project stands as a potential pillar in personalised medicine and precision oncology.
The project consortium consists of a broad partnership, combining universities, industry and clinics to provide all the necessary components of data management, data sharing, cancer imaging research and artificial intelligence. Aside from the platform itself, the consortium will generate user-friendly data annotation and training materials, along with integrating artificial intelligence and benchmarking to envelop multiple disciplines in cancer diagnosis and treatment and make evaluation accessible for clinicians and even extend their capabilities to personalised care.
With the introduction of the GDPR in 2018, data privacy and protection have a strong foundation, of particular concern when handling medical data. EuCanImge will extend this framework to ensure responsible data sharing and further the principles of Open Science.
Facts and figures
Coordinator: Universitat de Barchelona (UB)
Number of Partners: 20
Start Date: October 1, 2020
End Date: September 30, 2024
Total Funding: € 59,994,358.50
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 952103