Using Machine Learning to Battle Antibiotic Resistance

  03 May 2019

Researchers are using artificial intelligence to identify known and novel resistance genes.

It would help clinicians to be able to mine your superbug’s genome for DNA sequences that indicate susceptibility or resistance to antibiotics. As a step toward that goal, bioinformaticians are tapping artificial intelligence to identify the most relevant sequences. They’re making progress, thanks to databases stuffed with thousands of genomes from different strains of pathogenic bacteria, along with corresponding data on whether those strains were susceptible or resistant to dozens of antibiotics.

Further reading: The Scientist
Smart Innovations  


Unrestricted financial support by:

Antimicrobial Resistance Fighter Coalition


JSS University


Technology Database

Display your AMR Technology, Product and Service

Suppliers and Users of Technologies, Products and Services benefit from CAPI.
CAPI (Continuous AMR Partnering Initiative) unites Suppliers and Users worldwide with the aim to add to the curbing of AMR.

Read more and make your own Technology Page >>
What is going on with AMR?
Stay tuned with remarkable global AMR news and developments!