APA (7th ed.) Citation

Starodubtseva, N., Tokareva, A., Kononikhin, A., Bugrova, A., Indeykina, M., Kukaev, E., . . . Sukhikh, G. (2026). Machine Learning and Blood-Targeted Proteomics Enable Early Prediction and Etiological Discrimination of Hypertensive Pregnancy Disorders. International Journal of Molecular Sciences, 27(3), 1402. https://doi.org/10.3390/ijms27031402

Chicago Style (17th ed.) Citation

Starodubtseva, Natalia, et al. "Machine Learning and Blood-Targeted Proteomics Enable Early Prediction and Etiological Discrimination of Hypertensive Pregnancy Disorders." International Journal of Molecular Sciences 27, no. 3 (2026): 1402. https://doi.org/10.3390/ijms27031402.

MLA (9th ed.) Citation

Starodubtseva, Natalia, et al. "Machine Learning and Blood-Targeted Proteomics Enable Early Prediction and Etiological Discrimination of Hypertensive Pregnancy Disorders." International Journal of Molecular Sciences, vol. 27, no. 3, 2026, p. 1402, https://doi.org/10.3390/ijms27031402.