APA (7th ed.) Citation

M, C., H, L., L, J., X, F., B, D., F, W., . . . L, F. (2026). Integrating genetic, epigenetic, and clinical signatures via machine learning for robust prediction of leflunomide response in rheumatoid arthritis: A multi-center validation study. Frontiers in immunology, 17, 1804485. https://doi.org/10.3389/fimmu.2026.1804485

Chicago Style (17th ed.) Citation

M, Chen, et al. "Integrating Genetic, Epigenetic, and Clinical Signatures via Machine Learning for Robust Prediction of Leflunomide Response in Rheumatoid Arthritis: A Multi-center Validation Study." Frontiers in Immunology 17 (2026): 1804485. https://doi.org/10.3389/fimmu.2026.1804485.

MLA (9th ed.) Citation

M, Chen, et al. "Integrating Genetic, Epigenetic, and Clinical Signatures via Machine Learning for Robust Prediction of Leflunomide Response in Rheumatoid Arthritis: A Multi-center Validation Study." Frontiers in Immunology, vol. 17, 2026, p. 1804485, https://doi.org/10.3389/fimmu.2026.1804485.