EUCAIM – EUropean Federation for CAncer IMages

Project Acronym EUCAIM
Funding Program HORIZON EUROPE (Digital Europe)
Budget € 17,789,829.02
Coordinator IBIR - Gemeinnutzige Gmbh Zur Forderung Der Erforschung Der Biomedizinischen Bildgebung
Start-end dates: 1 January 2023 – 31 December 2026

The EUropean Federation for CAncer IMages (EUCAIM) project originates from an unprecedented body of work and expertise of the “AI for Health Imaging” Network (AI4HI), which consists of 86 affiliated institutions from 20 countries involved in 5 large EU-funded projects on big data and AI in cancer imaging (CHAIMELEON, EUCANIMAGE, INCISIVE, ProCancer-I, PRIMAGE; coordinated by HULAFE, UB, MAG, FORTH and HULAFE, respectively). This network will bring information from more than 60 million annotated images, including all medical modalities, from hundreds of thousands of patients with cancer.

The EUCAIM project will not build a new infrastructure from scratch, but will deliver an integrated architecture carefully designed by the AI4HI Network, and major European Research Infrastructures (Euro-BioImaging, BBMRI, EATRIS and ELIXIR) on real-world achievements. The main concept of EUCAIM is of a central hub that federates distributed nodes (repositories, Research Infrastructures, and hospitals) to build up a hybrid distributed and centralised infrastructure of cancer images, including all types of cancer.

EUCAIM consortium

EUCAIM brings together a highly experienced and ambitious consortium with key expertise and assets to ensure the successful implementation and deployment of a pan-European federated infrastructure of FAIR cancer images. The 79 organisations of EUCAIM cover competences in cancer imaging and care, big data in medical imaging, FAIR data management, ethical and legal aspects of medical data, development and deployment of research infrastructures, AI and machine learning, as well as dissemination, communication and stakeholder outreach in biomedical imaging.

The role of EATRIS in the project

EATRIS will co-lead WP7, which is about use cases for platform expansion and validation, and will work with hospitals, academic medical centers, image data providers and other AI innovators – such as industry partners and research institutes – on the identification of the use cases that will drive the design, implementation and validation of the infrastructure.

See the new explainer video below: