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Article

Interpretable machine learning identifies a clinically inferred inflammasome-associated inflammatory injury phenotype in children with adenovirus pneumonia.

Frontiers in cellular and infection microbiology - 1 Jan 2026

Li Jie, Wu Yabin, Huang Yang, Deng Wenhua

Abstract excerpt

Background: Severe adenovirus pneumonia in children is characterized by persistent fever, systemic inflammation, and extrapulmonary tissue injury. Although adenovirus can activate inflammasome pathways, direct inflammasome biomarkers are not routinely available in pediatric practice. This study developed an interpretable machine-learning framework for retrospective severity discrimination and inflammatory...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 42539701
DOI: 10.3389/fcimb.2026.1902566
PMCID: PMC13424107

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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