CAFEIN (Computational Algorithms for Federated Environments: Integration and Networking) is a Federated Learning (FL) platform developed at CERN to address critical challenges in medical diagnostics and research. The platform ensures patient data confidentiality by keeping all data local.
Key Features of our Platforms
Privacy-first approach
The platform utilizes FL and security features to ensure data privacy.
Collaboration
The platform facilitates seamless collaboration, driving innovation and AI-driven analysis and prediction.
Scalability and Flexibility
The platform offers scalable and flexible solutions tailored to your unique requirements.
Medical applications developed using the FL platform:
a. Brain MRI anomaly screening
b. Multi-pathology detection and classification
c. COVID-19 screening tool
See a demo: