EUCAIM Project
The EUCAIM consortium consist of 76 partners from 14 countries. Many partners are part of the “AI for Health Imaging” Network (AI4HI), a cluster of 5 large EU-funded projects on big data and AI in cancer imaging (CHAIMELEON, EUCANIMAGE, INCISIVE, ProCancer-I, PRIMAGE), whose data repositories EUCAIM is building on. The Consortium also involves major European Research Infrastructures, such as Euro-BioImaging, The EUropean Federation for CAncer IMages (EUCAIM) project is a 4-year project with 76 partners from 14 European Union (EU) member states. The EUCAIM project is the cornerstone of the European Cancer Imaging Initiative launched by the European Commission, a flagship of the Europe's Beating Cancer Plan (EBCP) and a major contributor to the European Health Data Space. The project aims to foster innovative data-driven solutions and deploy digital technologies in cancer treatment and care.
EUCAIM will establish and deploy a digital and federated infrastructure of FAIR (findable, accessible, interoperable and reusable) cancer-related, de-identified, imaging data and provide a research platform for the development and benchmarking of AI tools to address unmet precision medicine. The project will address the fragmentation of existing cancer image repositories and establish a distributed (federated) data storage and access infrastructure –an Atlas of Cancer Imaging– with over 60 million anonymised cancer image data from over 100,000 patients, accessible to clinicians, researchers and innovators across the EU for the development and benchmarking of trustworthy AI tools. The infrastructure will be further populated by observational studies from hospitals (21 clinical sites in 12 EU countries), include clinical images and link with pathology, molecular and laboratory data and will be expanded to at least 30 distributed data providers from 15 countries by the end of the 4-year project. Federated AI solutions will be trained at the hospital data warehouses, keeping data privacy.
The EUCAIM project will be built upon the work and progress of the AI for Health Imaging (AI4HI) network, which consists of 5 large EU-funded projects on big data and Artificial Intelligence in cancer imaging: INCISIVE, Chaimeleon, EuCanImage, ProCancer-I and Primage. Therefore, INCISIVE, a project that Maggioli coordinates, will be one of the major contributors to this initiative as one of the repositories that, through the EUCAIM project, will be linked to the infrastructure to be developed and made available by this initiative.
In EUCAIM, MAGGIOLI co-leads the work package on "Data Federation and Interoperability Framework" that will provide the "glue" for the massive cancer imaging and clinical data to be made available through the EUCAIM project. MAGGIOLI also participates in all other major EUCAIM tasks.