Driving Discovery
Research & Innovation Community
UNCAN-Connect supports collaboration between organisations that generate cancer data and those who use data for research and innovation. The project brings these communities together within a secure, federated European framework, designed to enable responsible data use while respecting ethical, legal, and institutional requirements.
Validation
Use cases across six cancer types
UNCAN-Connect validates its approach through scientific and clinical use cases targeting six cancer types. By enabling the use of diverse datasets across institutions and countries, these use cases demonstrate how a coordinated, federated framework can support improved understanding of cancer development, treatment response, and patient outcomes.
Paediatric cancer
Using real-world clinical data to better predict cardiovascular and infection risks in children undergoing cancer treatment.
Use cases
UC1.1 AI driven risk score for early prediction of CV impairment in paediatric cancer patients
UC1.2 Early prediction of fever in children undergoing chemotherapy using wearables
Pancreatic cancer
The aim is early detection of pancreatic cancer through blood-based biomarkers and AI.
Use cases
UC2 Proteomic risk model for the early diagnosis of PDAC
Lymphoid malignancies
Improving the care of lymphoma survivors, helping to predict treatment-related cardiotoxicity and tumor relapses using clinical and molecular features.
Use cases
UC3 Risk prediction and follow-up strategy of LM survivors
Lung cancer
These use cases addresses lung cancer risk prediction, early detection, and disease progression through integrated research approaches.
Use cases
UC 4.1 Optimizing LC risk prediction and screening
UC4.2 Early detection and diagnosis of LC using advanced AI, radiomics, and liquid biopsy technique
UC 4.3 Understanding onset, progression and metastatic progress of NSCLC through cancer models
UC 4.4 Understanding role of epigenetic changes and glypicans in SCLC through cancer models
Ovarian cancer
The aim is to understand and improve early detection as well as personalized treatment of ovarian cancer using real-world data from the UNCAN.eu platform.
Use cases
UC5.1 Risk-tailored ovarian cancer treatment through Real world data and Decision analytic modeling
UC5.2 AI-Enhanced Robotic System for OC Screening.
Prostate cancer
The use case addresses the diagnostic pathway in prostate cancer, specifically biopsy decision after an uncertain MRI finding.
Use cases
UC6 Enhanced diagnostic tools and treatment strategies in prostate cancer
The Ecosystem
Stakeholders & Value
UNCAN-Connect brings together organisations that generate high-quality cancer data and those who use data to advance research, innovation, and public health. The project is designed to support secure, responsible data use while enabling collaboration across Europe.
Transparency
For Data Providers
Value Proposition
Support the use of cancer data for research while respecting institutional responsibilities and data protection requirements. UNCAN-Connect is based on a federated approach that enables collaboration without centralising sensitive data.
Strategic Impact
Contribute to European cancer research by making data usable within a trusted framework that aligns with ethical principles, GDPR, and existing institutional governance structures.
Innovation
For Data Users
Value Proposition
Support cancer research by working with data made available through a coordinated, federated European framework. UNCAN-Connect facilitates the use of interoperable cancer data across institutions while respecting data protection, ethical requirements, and local governance.
Strategic Impact
Enable cross-border cancer research by reducing fragmentation between datasets and approaches. UNCAN-Connect supports more consistent and comparable research activities across Europe, contributing to evidence generation and knowledge advancement.
Next steps
Ready to join the network?
UNCAN-Connect is currently expanding its pilot phase. Whether you are a research institution holding valuable oncology datasets or a scientist looking to leverage our decentralized infrastructure, we invite you to be part of the most ambitious cancer data initiative in Europe. Join us in breaking down silos and accelerating the path to a cure.