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Article

Unsupervised clustering of clinical and laboratory features of systemic lupus erythematosus: insights from a multicentre cohort.

Lupus science & medicine - 8 Apr 2026

Hou Yuke, Wang Yan, Wei Bo, Chen Yinghua, Weng Chenghua, Wu Shiyu, Liang Jingyuan, Zhai Yujia, Wang Ping, Zou Yadan, Gao Guanmin, Jin Shanzhao, Li Jiachen, Zang Sitian, Li Xinxin, Cheng Jianhui, Yao Haihong, Liu Zhichun, Wang Guochun, Liu Zhi-Hong, Li Zhanguo

Abstract excerpt

OBJECTIVE: This study explored the relationship between clinical phenotypes and immuno-molecular features of systemic lupus erythematosus (SLE) using unsupervised machine learning and multi-omics integration. METHODS: A multicentre cohort of 1065 SLE patients from five teaching hospitals was studied. Unsupervised clustering was performed using integrated clinical and laboratory data to identify distinct...

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Identifiers

PMID: 41951250
DOI: 10.1136/lupus-2025-001842
PMCID: PMC13064172

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

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