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April 2025

Unsupervised machine learning identifies distinct systemic lupus erythematosus patient endotypes with differential response to belimumab

Rheumatol (Oxford), 2025 DOI: 10.1093/rheumatology/keaf215. Epub ahead of print

Depascale et al. used unsupervised machine learning to identify three SLE endotypes based on B cell immunophenotyping and serological profiles. Belimumab was most effective in patients with transitional and naïve B cell enrichment (Cluster 2), where it significantly increased the likelihood of achieving sustained LLDAS and DORIS remission.

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