Data Spaces Symposium
European Health Data SpaceEUCAIM: EUropean Federation for CAncer IMages

Patricia Serrano Candelas
Project Manager
Biomedical Imaging Research Group (GIBI230)
La Fe Health Research Institute. Valencia, Spain

EUCAIM: European Federation for Cancer Image
Pan-European digital federated infrastructure of FAIR cancer-related de-identified
images from Real-World• Coordinated by EIBIR-European Institute for Biomedical Imaging Research (Vienna Austria)• Scientific Coordination by La Fe Health Research Institute (Valencia – Spain)• Consortium: 76 partners from 14 countries• Runtime: January 2023 - December 2026

• Digital Program EC 2022
• Funding: 17,8 M€ (50% EC) - Total amount: 35,6 M€• Flagship activity of the European Cancer Imaging Initiative• Sustainability: EDIC (European Digital Infrastructure Consortium)

Timeline
2023

2025

2027

Design completed

Final release of platform

Expansion• Requirements analysis• Design• Collaboration mechanisms• Early release of the data federation
framework• Federated learning• Final version of tools and services• Federation of new cancer images databases
through open calls• Implementation of clinical use cases

First version of platform• Platform validated and populated forexternal production• Data providers connected• Prototype for federated learning• Benchmarking platform

2024

Full operation of federatedrepository• Integration with other data infrastructures• Piloting of the business model• Legal and operation model finalised

2026

Partners and Stakeholders
Beneficiaries: 65
Affiliated Entities: 10
Associated Partner: 1

Partners: 76

Stakeholders: 145

Main Goals
Address the fragmentation of the existing cancer
image repositories

Atlas of Cancer Images>60 million of anonymized cancer
imagesAccessible to clinicians, researchers and innovators

Enhance cancer diagnosis and treatment through AI tools

Provide a research platform for the development &benchmarking of AI tools toward Precision Medicine

Create a federated data warehouse approach fordeploying observational studies

FAIR requirements

Cancer Images
Clinical data
CDM
(Common data model)
OMOP

DICOM
(Digital Imaging and Communicationsin Medicine)• CT - computed tomography• MRI - magnetic resonance imaging• PET - positron emission tomography• UltrasoundMetadata
DCAT(Data Catalog Vocabulary)Other requirements to ensure interoperabiliy
Data Deidentification andGDPR complianceImageHarmonization
Increasing thecomparability among
different providers,scanners andacquisition protocols

Hyper-ontology
Unified framework that
can integrate andrelate concepts

Ethical and legal aspects,
AI ethics, data protection(storage, preservation,access rights and policy)

Data
Annotation
Use of AI to reduce
existing inter-/intraobserver variabilityof human processes

Data Quality andCleaning
Data completeness andconsistency,
identification ofcorrupted/missing filesHybrid platform: Atlas of Cancer Images
Observational Studies RWD

AI Image Optimization

Hospitals(Data warehouses)

Observational
RWD StudiesCentralStorage
Anonymized

Governance& Access
Cancer Screening Programs

Biobanks
Data Altruism

Integrated / Standardized

Federated Infrastructure with a Central NodeDiscover Data
Discover the 40
collections fromthe AI4HI
projects

dashboard.eucaim.cancerimage.eu

Entry point for all the applications

Visualize themetadata of
the collectionsof interest

Explore and Request Access
Trigger therequest ofaccess to a
specific dataset

Explore the cases matching a criteria inthe datasets to refine your request

Fulfill therequired
information forthe AccessCommittee

Federated processes

Platformspecificimplementations• Analysis software• Federated learning• AI/ML models

Conclusions
DataSpaces

Scientifichealthcommunity

Healthinstitutions

Industry

Patients

Possibility of
establishingsynergies andlearning
together toovercome
challenges

Improve cancer
diagnosis,
choose a more
appropriate
treatment andimproveprognosis

Increaseinteroperability
and reusabilityof real-worldcancerdiagnostic data

Benchmarking,development ofAI models andsoftware

Innovative
diagnosis andtreatments,
precision
medicinevisit cancerimage.eu
for a first preview of the platform

Open call for new beneficiaries
Home - Cancer Image Europe

Technical webinar of the platform

Thank you very much for your attention!
Patricia Serrano Candelaspatricia_serrano@iislafe.es