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Decoding Host-Pathogen Interactions in <i>Staphylococcus aureus</i> : Insights into Allelic Variation and Antimicrobial Resistance Prediction Using Artificial Intelligence and Machine Learning based approaches

2025-02-23

Abstract excerpt

This novel study leveraged advanced machine learning techniques to elucidate the molecular mechanisms of antimicrobial resistance (AMR) in 300 Staphylococcus aureus isolates across six critical antibiotics. Employing a diverse array of deep learning and ensemble models, we conducted an in-depth analysis of genetic markers and allelic variations to characterize resistance determinants. Our investigation revealed t...

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Literature Corpus work
2ae591e9-5dc0-50dc-98b7-815205d73d1e
DOI
10.1101/2025.02.18.638850
Open publication

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Decoding Host-Pathogen Interactions in <i>Staphylococcus aureus</i> : Insights into Allelic Variation and Antimicrobial Resistance Prediction Using Artificial Intelligence and Machine Learning based approachesDOI 10.1101/2025.02.18.638850
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