How The Diagnostic Community Can Integrate AI Into AMR

  29 March 2022

With AI and machine learning (ML) driven approaches, laboratories can more quickly analyze the genetic profiles of pathogens. Two of the most developed foci of AI in the AMR lab setting are bioinformatics tools and cloud-based databases. When combined smartly, the technologies allow rapid genome analysis and support sharing of information on key AMR determinants from an increasingly growing number of sources. Ultimately, these strategies allow for rapid interpretation, prediction and annotation of AMR determinants, empowering laboratory and clinical professionals to prioritize combatting AMR and advancing antimicrobial stewardship.

 

Further reading: Diagnostics World
Author(s): Theo deVos
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