Projects
Here you’ll find an overview of all the projects we work on at CAFEIN.
TRUSTroke
The TRUSTroke project develops a platform to assist clinicians, patients, and caregivers in the management of acute and chronic phases of ischemic stroke. By integrating clinical data and patient-reported outcomes and experiences, the project aims to assess disease progression and associated risks for a more personalized and effective stroke management.
Breast Cancer Screening

Federated Learning Approach for Explainable Multilayer Graph Neural Networks
01/03/2024 – 30/11/2024
The Interplay Between Explainability and Differential Privacy in Federated Healthcare
01/05/2025 – 30/06/2025
Decoder-Free Supervoxel GNN for Accurate Brain-Tumor Localization in Multi-Modal MRI
01/05/2025 – 30/06/2025
AI-powered algorithms for Anomaly Detection on Industrial and Medical Applications on IoT devices
STELLA
The project integrates the CAFEIN federated learning platform with the STELLA radiotherapy treatment system to enable multi institutional collaboration in radiation oncology without centralizing raw data. Through privacy preserving learning, robust anomaly detection, and standardized validation, the framework improves treatment planning accuracy, streamlines clinical workflows, and supports safer delivery of care while meeting regulatory and security requirements.
Computational Agents for Systems’ Operations
Federated Intelligence for Robust and Transparent Market Visibility of the Supply Chain in Global Health Crises
The project delivers a Market Intelligence Platform (MIP) to strengthen global health supply chain resilience and visibility. Using federated learning, anomaly detection, and graph modeling, it predicts disruptions, reveals hidden interdependencies, and supports coordinated responses. Decision support with large language models helps optimize resources, ensure compliance, and enable secure cross-border information sharing.