Article
Genomic and Machine Learning Approaches for Predicting Antimicrobial Resistance: A One Health Scoping Review in Low- and Middle-Income Countries
2026-03-18
Abstract excerpt
<title>Abstract</title> <p>Background Antimicrobial resistance (AMR) is a major global health threat affecting humans, animals, and the environment. Its burden is particularly severe in low- and middle-income countries (LMICs), where infectious diseases are prevalent, antimicrobial use is often unregulated, and laboratory capacity is limited. Conventional phenotypic testing is essential but time-consuming and ma...
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Identifiers and source
- Literature Corpus work
- 17df63ea-391f-5a10-ab13-4677da26e7ae
- DOI
- 10.21203/rs.3.rs-9148578/v1
