Machine Learning-Based Cytokine Endotyping of Thyroid Eye Disease.

doi:10.1167/iovs.67.10.67

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Community

Back to search

Article

Machine Learning-Based Cytokine Endotyping of Thyroid Eye Disease.

Investigative ophthalmology & visual science - 3 Aug 2026

Jing Gaojing, Wu Xiaoyin, Huang Zhenxia, Tang Jiaqi, Ao Youhan, Yang Xinji, Ma Rui, Tang Xulei, Wu Wei, Fu Songbo

Abstract excerpt

Purpose: Thyroid eye disease (TED) exhibits profound phenotypic heterogeneity that conventional binary thyrotropin receptor antibody fails to capture. We aimed to deconstruct this heterogeneity by establishing a cytokine-derived molecular taxonomy. Methods: We profiled 102 plasma cytokines in 101 TED patients using a Luminex assay. Integrative machine learning identified key cytokine signatures. Unsupervised...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged
Share to Biomarkers
Share to Clustering Algorithms
Share to Cytokines

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Graves Ophthalmopathy

Share to Machine Learning

Share to Phenotype

Source

Open in PubMed Open full text

Identifiers

PMID: 42657997
DOI: 10.1167/iovs.67.10.67
PMCID: PMC13533295

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.