Optimising personalised antibiotic treatment for methicillin-resistant Staphylococcus aureus bloodstream infections in ICU patients using a deep learning–based causal inference approach

This study highlights linezolid and daptomycin treatment in select subgroups, while a deep learning-based model enables personalised antibiotic recommendations for ICU treatment strategies.

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Publication Details

Journal
Journal of Global Antimicrobial Resistance
Published
2025-08-27
DOI
https://doi.org/10.1016/j.jgar.2025.08.012
Primary Topic
Antimicrobial Resistance in Staphylococcus
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimising personalised antibiotic treatment for methicillin-resistant Staphylococcus aureus bloodstream infections in ICU patients using a deep learning–based causal inference approach

Min Woo Kang, Shin Young Ahn
1 links
Journal of Global Antimicrobial Resistance
Antimicrobial Resistance in Staphylococcus
article

Optimising personalised antibiotic treatment for methicillin-resistant Staphylococcus aureus bloodstream infections in ICU patients using a deep learning–based causal inference approach

Min Woo Kang, Shin Young Ahn
article en

Abstract

This study highlights linezolid and daptomycin treatment in select subgroups, while a deep learning-based model enables personalised antibiotic recommendations for ICU treatment strategies.

Journal of Global Antimicrobial ResistanceVol. 45
Korea University Medical Center (KR), Korea University (JP)
Korea University Guro Hospital
Good health and well-being
Openalex Percentile: Top 73%
Antimicrobial Resistance in Staphylococcus
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