SOURCE-LINKED INTELLIGENCE

Diagnosing Infections with Multi-Drug Resistant Microorganisms using AI-powered Genomic Antibiotic Susceptibility Prediction from Long-Read Sequencing Data

CORDIS · observation · Publication date unknown

ncing linked with AI-assisted data analysis. This project termed “DRAIGON” includes a consortium of internationally recognized experts in sequencing platform and assay development, bioinformatics and machine learning, clinical microbiology, infection prevention and control, antibiotic therapy and stewardship, and health economics to jointly develop our in vitro diagnostic solution to target virtually any pathogen-antibiotic combination. We propose to validate and demonstrate the clinical utility of DRAIGON focusing on bloodstream and prosthetic joint infections at five independent sites, including one located in a medium income country representative of areas with a high AMR burden and reduced access to laboratory infrastructure. The diagnostic will be easy to implement and functions as an early detection system to prevent the cross-border spread of pathogens. In rapidly and accurately providing pathogen ID and type, a comprehensive antibiogram, and outbreak cluster information directly from genome data and in a single assay, this innovative high-resolution diagnostic aims to reinfor

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recordType

award

status

SIGNED

region

EU

value

6348099.88

unit

EUR