Machine learning identifies lupus through serum proteomic profiles, suggesting novel biomarkers for early diagnosis.
Proteomic machine learning models show excellent performance for identifying preexisting lupus and generalizes well for predicting lupus before clinical diagnosis. Model interpretation identified novel candidate biomarkers for lupus.
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Hocaoǧlu et al. (2026) studied this question.
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