The CHAIMELEON project aims to develop a structured repository of health images and related clinical and molecular data on the most prevalent cancers in Europe: lung, breast, prostate and colorectal.

This EU-wide interoperable repository will greatly facilitate and contribute to the development and validation of AI tools for improved cancer management.

CHAIMELEON’s key objectives are to:

  • Provide access to large databases in line with legal and ethical requirements
  • Establish an EU-wide interoperable repository with quality-checked imaging data as a resource for developing and testing AI tools for cancer management
  • Set up a distributed infrastructure building on existing initiatives
  • Explore disruptive harmonisation approaches and provide an online processing pipeline for images harmonisation
  • Implement online processing pipelines enhancing the integrity and interpretability of AI solutions
  • Evaluate and validate the repository internally and externally
  • Perform early clinical external validation of AI-based solutions
  • Ensure the sustainability of the repository beyond the project runtime and build a large and active userbase