Privacy-preserving intelligence
Develop, deploy and validate a privacy-by-design federated reinforcement learning architecture across at least 12 laboratories.
Horizon Europe · MSCA Staff Exchanges
Connected intelligence for a healthier world.
Federated Learning for Antimicrobial Surveillance brings human, animal and environmental health together—without moving sensitive data.
Discover FLAMRGrant Agreement No. 101299901
10 partners7 countries48 months1 One Health vision
The project
Surveillance that learns together—while data stays protected.
FLAMR tackles the global health threat of antimicrobial resistance by developing and validating a next-generation federated reinforcement learning system for near real-time surveillance calibrated for ESKAPEE+ pathogens.
The project connects advanced AI, metagenomics and bioinformatics with social science and community-based governance across Europe, South America and Asia.
Three shared objectives
From secure data to practical action.
Stronger diagnostic capacity
Advance bacteriological and metagenomic surveillance through more than 400 field samples and phage-based alternatives.
Communities shaping action
Co-develop stewardship, governance and education toolkits with local communities and public authorities.
One consortium · One Health