Machine Learning for Antimicrobial Resistance Prediction: Current Practice, Limitations, and Clinical Perspective

  27 May 2022

Antimicrobial resistance (AMR) is a global health crisis that poses a great threat to modern medicine. Effective prevention strategies are urgently required to slow the emergence and further dissemination of AMR. Given the availability of data sets encompassing hundreds or thousands of pathogen genomes, machine learning (ML) is increasingly being used to predict resistance to different antibiotics in pathogens based on gene content and genome composition. A key objective of this work is to advocate for the incorporation of ML into front-line settings but also highlight the further refinements that are necessary to safely and confidently incorporate these methods.


Further reading: Clin Microbiol Reviews
Author(s): Jee In Kim et al
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!