Publications
Find coverage of the latest original articles on Lupus, focusing on those with data on therapeutic interventions and those that have clinical impact.
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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May 2023
Machine Learning Identifies Clusters of Longitudinal Autoantibody Profiles Predictive of Systemic Lupus Erythematosus Disease Outcomes
Ann Rheum Dis 2023;82(7):927–36 doi 10.1136/ard-2022-223808
Choi, et al. used machine clustering techniques to divide SLE patients into four distinct clusters. This could potentially be used to predict future clinical outcomes, and as benchmarks to study other SLE-related outcomes.