.png){kind=icon}
.png){kind=icon}
Return
Serum-Proteomic Profiling Reveals Distinct Atopic Dermatitis Severity-Linked Signatures
.png){kind=icon}
OA
AI
J
T
S
X
D
L
A
DOI：10.1111/all.70464.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Atopic Dermatitis (AD) is a chronic inflammatory skin disease characterized by complex pathogenesis, variable clinical phenotypes, and broad severity spectrum. We utilized a serum-proteomic approach integrated with machine learning (ML) to identify novel biomarkers that distinguish mild from severe AD.
Keywords:
atopic dermatitis
biomarkers
machine learning
severity
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
A
IF:
12
Papers:
9.3K
Citations:
2.6W
Organization
Cited Papers