John W.A. Rossen
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johnrossen.bsky.social
John W.A. Rossen
@johnrossen.bsky.social
Professor for Personalised Molecular Microbiology. University Medical Center Groningen, Isala Hospital Zwolle, and University of Utah. PhD in coronavirus cell interactions (1996). #metagenomics #metatransriptomics #AMR #artificialintelligence
🚨 It’s back and better than ever! 🚨

We’ve done it before—during the pandemic virtually, last year in Norway—but now we’re bringing it back to Groningen! 🎉
@escmid.bsky.social @umcgroningen.bsky.social
Let’s push the boundaries of hospital surveillance and diagnostics together! 🔬✨

bit.ly/3EICAfI
Enhancing Hospital Surveillance and Rapid Diagnostics of Critical Pathogens Through Metagenomics Sequencing
bit.ly
February 18, 2025 at 5:44 PM
Breaking news from the ESCMID workshop The Future of Infection Diagnostics: A Comprehensive Guide to Next-Generation Sequencing in Ahus during the bioinformatics practice
September 3, 2024 at 2:29 PM
Discover the latest innovations in DNA & RNA technologies on April 16th 2024. All the latest developments in a fast-changing industry and impact of DNA research on people and plants.

fhi.nl/lifescience/...
February 8, 2024 at 9:02 AM
This paper indicates a two-step strategy (preparation phase followed by a series of EQAs) is a rapid and flexible system capable of scaling, improving, and maintaining high-quality diagnostics even in a rapidly evolving (e.g. pandemic) situation.

www.nature.com/articles/s41...
January 17, 2024 at 6:43 AM
Linda Veloo describes for the first time a cfiA element in a non-fragilis isolate and horizontal gene transfer between Bacteroides isolates within a patient. Carbapenem resistance transfer between anaerobic species underlines the importance of monitoring carbapenem resistance in anaerobic bacteria.
Horizontal gene transfer of a cfiA element between two different Bacteroides species within a clinic...
www.sciencedirect.com
January 10, 2024 at 5:17 PM
DRAIGON: pioneering global initiative using AI to predict antimicrobial resistance from genomic data
DRAIGON: pioneering global initiative using AI to predict antimicrobial resistance from genomic data
The ambitious project mission is to develop a novel diagnostic tool to tackle antimicrobial resistance (AMR) through the integration of genome sequencing and artificial intelligence (AI) technologies ...
www.euvaccine.eu
January 10, 2024 at 5:42 AM