The EUCAIM consortium and the European Commission are excited to announce the first public release of its platform, Cancer Image Europe, marking a major milestone in the project’s development and an exciting step towards achieving its vision and goals. The first platform release benefits researchers, clinicians and AI innovators across Europe and paves the way for the future of cancer diagnosis and treatment.

Key features and highlights of EUCAIM’s first platform release include:

• A public catalog of cancer imaging datasets from the repositories of the EU-funded AI for Health Imaging projects, following a common metadata schema.
• A federated searching tool to understand the information available in the federated providers.
• Full integration with the Life Science Login Authentication and Authorisation Infrastructure.
• Reusing and adding value to key components of EU-funded research projects and infrastructure in the field of cancer.

Commenting on this milestone achievement, Ignacio Blanquer, leading the EUCAIM infrastructure development, says “this early prototype of EUCAIM is a proof of concept for the federation model pursued in EUCAIM. It will be the basis for a fully fledged infrastructure for sharing, reusing and exploiting cancer imaging data, especially using AI techniques.”

Prof. Luis Martí-Bonmatí, Scientific Coordinator of EUCAIM, adds that “this is the first step towards the set-up of the largest known-to-date cancer imaging infrastructure in Europe. Over the next months, the EUCAIM project will continue to extend the functionalities of the platform, linking to other research repositories, screening programmes and data warehouses towards its next upgrade, expected to be released in June 2024”.

By releasing the first version of Cancer Image Europe, sharing of cancer images and supporting clinical data is facilitated and collaboration between researchers, clinicians and AI innovators across Europe is stimulated. The platform aims to accelerate the pace of AI development and other data-intensive cancer research activities, thereby enabling and empowering scientific breakthroughs that will shape the future of cancer diagnosis and treatment. The project’s goals and vision contribute to the strategic objectives of the European Union’s initiatives and foster innovation and research.

About the EUCAIM project
With the Cancer Image Europe infrastructure, the EUCAIM project addresses the fragmentation of existing cancer image repositories. A distributed Atlas of Cancer Imaging with over 60 million anonymised cancer image data from over 100,000 patients will be established as part of future updates, and the infrastructure will be fully in alignment with the European Health Data Space. The data will be accessible to clinicians, researchers and innovators across the EU for the development and benchmarking of trustworthy AI tools. The EUCAIM project is a cornerstone of the European Commission-initiated European Cancer Imaging Initiative, a flagship of the Europe’s Beating Cancer Plan, which aims to foster innovation and deployment of digital technologies in cancer treatment and care, to achieve more precise and faster clinical decision-making, diagnostics, treatments and predictive medicine for cancer patients.

For more information about the first release of the Cancer Image Europe platform and the EUCAIM project, please visit cancerimage.eu.

About Medexprim

European leader in imaging & clinical data extraction, Medexprim bridges leading hospitals and pharmaceutical companies. Real-World data specialist, we help hospitals drive their research strategy and valorize their data. We provide our partners with secure access to multimodal, multicentric datasets for clinical research projects in oncology, cardiology, neurology, and rare diseases. We aim to structure the Real-World clinical and imaging data ecosystem in Europe to accelerate precision medicine.
In this first-of-its-kind European ‘pan-cancer’ infrastructure, Medexprim will contribute to:

• Facilitate the engagement of the data partners in the project, under the leadership of Fundacion para la Investigacion del Hospital Universitario La Fe (Hulafe) and Deutsches Krebsforschungszentrum (DKFZ) and develop a structured help platform.
• Define the image-related data, including clinical data, and metadata to be collected from each data provider and ensure data quality and data cleaning under the leadership of the Foundation for Research and Technology Hellas (Forth) and Matical.
• Implement a Central Hub dedicated to hosting an Atlas of Cancer Images, under the leadership of Universitat Politecnica de Valencia and Hulafe.

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