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An Automated Machine Learning Framework for Antimicrobial Resistance Prediction Through Transcriptomics

2024-06-27

Abstract excerpt

The emergence of antimicrobial resistance (AMR) poses a global threat of growing concern to the healthcare system. To mitigate the spread of resistant pathogens, physicians must identify the susceptibility profile of every patient’s infection in order to prescribe the appropriate antibiotic. Furthermore, disease control centers need to be able to accurately track the patterns of resistance and susceptibility of pa...

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Literature Corpus work
20a6fac1-d2e2-591c-9491-04f96ff8857d
DOI
10.1101/2024.06.22.600223
Open publication

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An Automated Machine Learning Framework for Antimicrobial Resistance Prediction Through TranscriptomicsDOI 10.1101/2024.06.22.600223
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