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Article

Machine learning identification of specific changes in myeloid cell phenotype during bloodstream infections.

Scientific reports - 13 Oct 2021

Gosset Christian, Foguenne Jacques, Simul Mickaël, Tomsin Olivier, Ammar Hayet, Layios Nathalie, Massion Paul B, Damas Pierre, Gothot André

Abstract excerpt

The early identification of bacteremia is critical for ensuring appropriate treatment of nosocomial infections in intensive care unit (ICU) patients. The aim of this study was to use flow cytometric data of myeloid cells as a biomarker of bloodstream infection (BSI). An eight-color antibody panel was used to identify seven monocyte and two dendritic cell subsets. In the learning cohort, immunophenotyping was...

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Identifiers

PMID: 34645893
DOI: 10.1038/s41598-021-99628-8
PMCID: PMC8514545

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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