Y, H., X, H., X, L., H, T., R, L., J, Y., . . . L, Z. (2026). Multi-center validation of a machine learning model for early detection of monoclonal immunoglobulin-related disorders using routine laboratory data. Frontiers in immunology, 17, 1856505. https://doi.org/10.3389/fimmu.2026.1856505
Chicago Style (17th ed.) CitationY, Hu, et al. "Multi-center Validation of a Machine Learning Model for Early Detection of Monoclonal Immunoglobulin-related Disorders Using Routine Laboratory Data." Frontiers in Immunology 17 (2026): 1856505. https://doi.org/10.3389/fimmu.2026.1856505.
MLA (9th ed.) CitationY, Hu, et al. "Multi-center Validation of a Machine Learning Model for Early Detection of Monoclonal Immunoglobulin-related Disorders Using Routine Laboratory Data." Frontiers in Immunology, vol. 17, 2026, p. 1856505, https://doi.org/10.3389/fimmu.2026.1856505.