Identifying systemic lupus erythematosus from serum proteomic profiles using machine learning and genetic risk stratification
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.
Authors
- Mehmet Hocaoǧlu (ORCID: https://orcid.org/0000-0003-1974-8740)
- Amr H Sawalha
- Jishnu Das
Institutions
- University of Pittsburgh (US)
Publication Details
- Journal
- Arthritis & Rheumatology
- Published
- 2026-03-26
- DOI
- https://doi.org/10.1002/art.70156
- Primary Topic
- Systemic Lupus Erythematosus Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00