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Genomic and Machine Learning Approaches for Predicting Antimicrobial Resistance: A One Health Scoping Review in Low- and Middle-Income Countries

2026-03-18

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<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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Literature Corpus work
17df63ea-391f-5a10-ab13-4677da26e7ae
DOI
10.21203/rs.3.rs-9148578/v1
Open publication

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Genomic and Machine Learning Approaches for Predicting Antimicrobial Resistance: A One Health Scoping Review in Low- and Middle-Income CountriesDOI 10.21203/rs.3.rs-9148578/v1
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