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Unlocking antimicrobial resistance with multiomics and machine learning

Abhirupa Ghosh,Charmie K Vang,E. Brenner,J. Ravi

2025 · DOI: 10.1016/j.tim.2025.04.017
Trends in Microbiology · 18 Citations

TLDR

Cutting-edge machine learning methods and multiomics technologies can help combat this crisis by predicting novel AMR biomarkers and outcomes with unprecedented precision and speed, offering critical insights into the molecular underpinnings of AMR.

Abstract

The global antimicrobial resistance (AMR) emergency is driven by complex and evolving molecular mechanisms. Cutting-edge machine learning methods and multiomics technologies can help combat this crisis by predicting novel AMR biomarkers and outcomes with unprecedented precision and speed, offering critical insights into the molecular underpinnings of AMR.