Mayo Clinic Joins the DRAIGON Consortium to Advance AI-Powered Diagnostics for AMR

The DRAIGON Consortium is proud to welcome Mayo Clinic as a new collaborating institution, further strengthening its international effort to combat antimicrobial resistance (AMR) through rapid, AI-powered genomic diagnostics. This collaboration marks an important step in accelerating the development and clinical validation of innovative diagnostic solutions for multi-drug resistant infections.

Mayo Clinic, a non-profit academic medical centre dedicated to patient care, research and medical innovation, will contribute its expertise in clinical microbiology, particularly in the area of bloodstream infections.  The institution will support DRAIGON’s clinical utility studies using patient samples and contribute to the standardisation of DNA extraction and library preparation workflows. This work is essential to ensuring that AI-assisted whole-genome sequencing can be reliably implemented in real-world healthcare settings.

“We are excited to collaborate with Mayo Clinic. Their world-class clinical and research expertise will strengthen our efforts to translate cutting-edge genomic science into practical tools that improve patient care and antimicrobial stewardship,” said Adriana Vives, DRAIGON Coordinator at European Vaccine Initiative (EVI).

Antimicrobial resistance remains one of the most serious global health threats, contributing to millions of deaths each year. Rapid, accurate diagnostics are essential to ensure patients receive the right treatment at the right time, while limiting the spread of multidrug-resistant pathogens.

By expanding its network to include Mayo Clinic, DRAIGON further strengthens its global research collaboration and reinforces its commitment to bridging technological innovation with clinical application, ensuring that next-generation diagnostics deliver measurable impact for patients and healthcare systems worldwide.

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101137383. 

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them.