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Machine learning identifies clinical sepsis phenotypes that translate to the plasma proteome: a prospective cohort study

2025-04-11

Abstract excerpt

<h4>Background</h4> Sepsis therapy is still limited to treatment of the underlying infection and supportive measures. To date, various sepsis subtypes were proposed, but therapeutic options addressing the molecular changes of sepsis were not identified. With the aim of a future individualized therapy, we used machine learning (ML) to identify clinical phenotypes and their temporal development in a prospective, mul...

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Literature Corpus work
deff5d88-5eb2-5269-a5f9-9ed7f54439fe
DOI
10.1101/2025.04.11.25325574
Open publication

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Machine learning identifies clinical sepsis phenotypes that translate to the plasma proteome: a prospective cohort studyDOI 10.1101/2025.04.11.25325574
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