European subsidized research projects

Medexprim is co-leader, architect, contributor to three major EU-funded projects: EUCAIM, CHAIMELEON, PRIMAGE.

EUCAIM: European Federation for Cancer Images

EUCAIM is the cornerstone of the European Commission-initiated European Cancer Imaging Initiative, a flagship of Europe’s Beating Cancer Plan (EBCP), 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, treatment and predictive medicine for cancer patients.

Medexprim contributor of this first-of-its-kind European ‘pan-cancer’ infrastructure

Medexprim will:

  • Facilitate the engagement of the data partners in the project;
  • Define the image related data, including clinical data, and metadata that are to be collected from each data provider and ensure data quality and data cleaning;
  • Implement a Central Hub dedicated to hosting an Atlas of Cancer Images.
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EUCAIM brings together clinical data providers, researchers, research infrastructures and industry with mature solutions, to provide the means to build validated clinical decision-making systems supporting diagnosis, treatment, and predictive medicine to benefit citizens.

EUCAIM will:

  • define the legal grounds for operation on a pan-European scale, adapting to the particularities of different countries on managing clinical data, and will implement a federation of providers compliant with this legal ground, defining common data models, ontologies, quality standards, FAIR principles and de-identification procedures. 
  • provide a comprehensive dashboard for data discovery, federated search, metadata harvesting, annotation and distributed processing, including federated and privacy-preserving learning. 
  • build a central hub to host the Atlas of Cancer Images, enabling development of trustworthy AI tools. 
  • support new providers in building the federation and monitoring the distributed infrastructure. 
  • align with the European Health Data Spaces initiative toward a sustainable flagship repository of high-quality data and tools. 

Medexprim is thrilled to participate in a ground-breaking European federated infrastructure building on our involvement in 2 major AI4HI projects. The combined energy, expertise, and experience of this 76 parties-wide consortium will undoubtedly improve early detection and treatment options for cancer patients.

Nicolas Dubost, Head of Partnerships

CHAIMELEON: 4 datalakes for 4 cancers

CHAIMELEON aims to set up a structured repository for health imaging data to be openly reused in AI experimentation for cancer management, with the creation of four datalakes for four cancers: lung, breast, colorectal, prostate.

Medexprim Global Technical Coordinator

As a contributor to the winning consortium, our unique expertise —combining scientific sensitivity, maturity on technical platforms, a legal and regulatory knowledge and a collaborative spirit— allows us to cover legal, interoperability, platform architecture and internal consulting for data integration.

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Clinical partners and external collaborators will populate the repository with multimodality imaging and related clinical data for historic and newly diagnosed cancer patients.

AI-powered pipelines will automate data de-identification, curation, annotation, integrity securing and image harmonization, enabling reproducibility of Radiomics with large image datasets.

Analytical data engine will interpret, extract and exploit the right information stored at the Repository.

Early in-silico validation of selected AI tools will be conducted in observational clinical studies coordinated by leading experts: San Donato (breast), Sapienza (colorectal), La Fe (prostate).

I am very proud and excited to take part to this ambitious EU project. It follows the Primage project in which we were already involved. It’s a big challenge, but it’s 100% in line with Medexprim’s core mission and expertise.

Karine Seymour, Technical Leader 

PRIMAGE: computational analysis of medical images applied to childhood cancer.

This project proposes an open cloud-based platform to support decision making in the clinical management of two paediatric cancers, Neuroblastoma (NB), the most frequent solid cancer of early childhood, and the Diffuse Intrinsic Pontine Glioma (DIPG) the leading cause of brain tumour-related death in children. PRIMAGE platform implements the latest advancement of in-silico imaging biomarkers and modelling of tumour growth towards a personalised diagnosis, prognosis and therapies follow-up.

Medexprim: data expert

We provide our solution to streamline and secure the data pseudonymisation, extraction, structuring, quality control and storage processes.

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To integrate and validate a functional prototype of the PRIMAGE cloud-based platform offering predictive tools to assist management of Neuroblastoma and DIPG pediatric cancers, from diagnosis to prognosis, therapies choice and treatment follow-up, based on the use of novel imaging biomarkers, tumor growth models and advanced visualisation of predictions.