Integrative machine learning identifies robust inflammation-related diagnostic biomarkers and stratifies immune-heterogeneous subtypes in Kawasaki disease

This study establishes inflammation-related diagnostic biomarkers and immune-stratified subtypes for KD, offering a framework for precision immunomodulatory therapies.

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Publication Details

Journal
Pediatric Rheumatology
Published
2025-06-02
DOI
https://doi.org/10.1186/s12969-025-01114-2
Citations
5
Primary Topic
Kawasaki Disease and Coronary Complications
Type
article
Field-Weighted Citation Impact
10.03
Controls
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article

Integrative machine learning identifies robust inflammation-related diagnostic biomarkers and stratifies immune-heterogeneous subtypes in Kawasaki disease

Xia Wang, Lin Zhang
5 citations
Pediatric Rheumatology
Kawasaki Disease and Coronary Complications
10.03
article

Integrative machine learning identifies robust inflammation-related diagnostic biomarkers and stratifies immune-heterogeneous subtypes in Kawasaki disease

Xia Wang, Lin Zhang
article en
5 citations

Abstract

This study establishes inflammation-related diagnostic biomarkers and immune-stratified subtypes for KD, offering a framework for precision immunomodulatory therapies.

Pediatric RheumatologyVol. 23(1)
County Hospital (GB)
Good health and well-being
Openalex Percentile: Top 2%
Kawasaki Disease and Coronary Complications
10.03
DOIOpen Access PDFOpenAlex
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Integrative machine learning identifies robust inflammation-related diagnostic biomarkers and stratifies immune-heterogeneous subtypes in Kawasaki disease — Xia Wang, Lin Zhang · Pediatric Rheumatology (2025) | TGRS Research Map | TGRS