Unlocking antimicrobial resistance with multiomics and machine learning
Abhirupa Ghosh, Charmie K. Vang, Evan P. Brenner, Janani Ravi
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 to combat this crisis by predicting novel AMR biomarkers and outcomes with unprecedented precision and speed, offering critical insights into the molecular underpinnings of AMR.
Topics & Concepts
BiologyAntibiotic resistanceComputational biologyData scienceAntimicrobialResistance (ecology)Computer scienceMicrobiologyBacteriaGeneticsEcologyComputational Drug Discovery MethodsAntibiotic Resistance in BacteriaAntimicrobial Peptides and Activities