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Article

Sepsis biomarkers and diagnostic tools with a focus on machine learning.

EBioMedicine - 1 Dec 2022

Komorowski Matthieu, Green Ashleigh, Tatham Kate C, Seymour Christopher, Antcliffe David

Abstract excerpt

Over the last years, there have been advances in the use of data-driven techniques to improve the definition, early recognition, subtypes characterisation, prognostication and treatment personalisation of sepsis. Some of those involve the discovery or evaluation of biomarkers or digital signatures of sepsis or sepsis sub-phenotypes. It is hoped that their identification may improve timeliness and accuracy of...

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Identifiers

PMID: 36470834
DOI: 10.1016/j.ebiom.2022.104394
PMCID: PMC9783125

Provenance

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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