Can game theory help detect drug-resistant bacteria?

  09 July 2020

Amid mounting concerns that antimicrobial resistance (AMR) — a global public health threat and a chronic pandemic — will be exacerbated by the novel coronavirus disease (COVID-19) pandemic, a group of researchers have designed software program to identify antimicrobial resistant bacteria.

They did so by applying game theory — an approach that deploys study of mathematical models of strategic interaction among game players.

The team from Washington State University developed the software tool, Prediction of Antimicrobial Resistance via Game Theory (PARGT), that comes with a simple graphic-user interface and can run on operating systems such as Windows, Linux, etc. The findings were published in journal Scientific Reports on July 6, 2020.

Further reading: DownToEarth
Author(s): Anshika Ravi
Smart Innovations  
Back

OUR UNDERWRITERS

Unrestricted financial support by:

Antimicrobial Resistance Fighter Coalition

Bangalore Bioinnovation Centre

INTERNATIONAL FEDERATION PHARMACEUTICAL MANUFACTURERS & ASSOCIATIONS

BD





AMR NEWS

Your Biweekly Source for Global AMR Insights!

Stay informed with the essential newsletter that brings together all the latest One Health news on antimicrobial resistance. Delivered straight to your inbox every two weeks, AMR NEWS provides a curated selection of international insights, key publications, and the latest updates in the fight against AMR.

Don’t miss out on staying ahead in the global AMR movement—subscribe now!

Subscribe

What is going on with AMR?
Stay tuned with remarkable global AMR news and developments!

Keep me informed