APA (7th ed.) Citation

Slieker, R. C., Münch, M., Donnelly, L. A., Bouland, G. A., Dragan, I., Kuznetsov, D., . . . Beulens, J. W. J. (2024). An omics-based machine learning approach to predict diabetes progression. Diabetologia: Clinical, Translational and Experimental Diabetes and Metabolism, 67(5), 885-894. https://doi.org/10.1007/s00125-024-06105-8

Chicago Style (17th ed.) Citation

Slieker, Roderick C., et al. "An Omics-based Machine Learning Approach to Predict Diabetes Progression." Diabetologia: Clinical, Translational and Experimental Diabetes and Metabolism 67, no. 5 (2024): 885-894. https://doi.org/10.1007/s00125-024-06105-8.

MLA (9th ed.) Citation

Slieker, Roderick C., et al. "An Omics-based Machine Learning Approach to Predict Diabetes Progression." Diabetologia: Clinical, Translational and Experimental Diabetes and Metabolism, vol. 67, no. 5, 2024, pp. 885-894, https://doi.org/10.1007/s00125-024-06105-8.