APA (7th ed.) Citation

I, G. V., I, L., BA, F., L, A., I, R., F, O., . . . LJ, H. (2026). Decoding the reproductive microbiome: Enabling clinical and biological insights through machine and deep learning. Frontiers in endocrinology, 17, 1812407. https://doi.org/10.3389/fendo.2026.1812407

Chicago Style (17th ed.) Citation

I, Garach Vélez, Leonés-Baños I, Folch BA, Antequera L, Rojas I, Ortuño F, Lara MJS, Altmäe S, and Herrera LJ. "Decoding the Reproductive Microbiome: Enabling Clinical and Biological Insights Through Machine and Deep Learning." Frontiers in Endocrinology 17 (2026): 1812407. https://doi.org/10.3389/fendo.2026.1812407.

MLA (9th ed.) Citation

I, Garach Vélez, et al. "Decoding the Reproductive Microbiome: Enabling Clinical and Biological Insights Through Machine and Deep Learning." Frontiers in Endocrinology, vol. 17, 2026, p. 1812407, https://doi.org/10.3389/fendo.2026.1812407.