Projects
TRUSTroke
The TRUSTroke project develops a platform to assist clinicians, patients, and caregivers in the management of acute and chronic phases of ischemic stroke.
UMBRELLA
The UMBRELLA project aims to revolutionise stroke management by implementing a comprehensive approach that addresses gaps along the whole continuum of the stroke care pathway.
Breast Cancer Screening
AI models are applied to the EPIC dataset to predict women’s risk of developing the disease. The research focuses mainly on modifiable risk factors, exploring model explainability and whether it might offer insights relevant for prevention strategies.
STELLA
A scalable federated learning (FL) framework to integrate the CAFEIN™ FL platform with the STELLA Radiotherapy Treatment (RTT) system, enabling multi-institutional collaboration in radiation oncology without centralizing sensitive patient data.
CASO
Computational Agents for Systems’ Operations (CASO), a platform for real-time prescriptive maintenance and operational optimization of critical infrastructure at CERN’s Large Hadron Collider (LHC).
Market Intelligence Platform
The project delivers a Market Intelligence Platform (MIP) to improve the resilience and visibility of global health supply chains with privacy-preserving, federated learning tool.
Edge Devices for personalized and privacy preserving patient care
The project advances CERN’s Federated Learning Platform, enabling edge-based AI for real-time monitoring, diagnosis, and therapy evaluation in stroke.
FL on IoT For medical applications
This project uses privacy-preserving, federated AI on edge devices to transform stroke care with real-time, personalized monitoring and therapy.