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Genomic and Machine Learning Approaches for Predicting Gut-Microbe Infections in Preterm Infants: A Systematic Review of African Studies

2026-02-22

Abstract excerpt

<title>Abstract</title> <p>The burden of morbidities associated with gut-microbes is disproportionately high in preterm infants in sub-Saharan African countries, as they include necrotizing enterocolitis (NEC), late-onset sepsis (LOS) and antimicrobial-resistant (AMR) bloodstream infections. Multi-omics like shotgun metagenomics, 16S rRNA profiling, metabolomics, proteomics, transcriptomics and machine-learning (...

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Literature Corpus work
ea5936aa-ebe0-50b8-8574-be28f8b26f6f
DOI
10.21203/rs.3.rs-8910748/v1
Open publication

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Genomic and Machine Learning Approaches for Predicting Gut-Microbe Infections in Preterm Infants: A Systematic Review of African StudiesDOI 10.21203/rs.3.rs-8910748/v1
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