APA (7th ed.) Citation

Markov, D., Gurung, J., Khalid, U., Bechev, K., Aleksiev, V., Markov, G., & Poryazova, E. (2026). Emerging Pathways to Non-Invasive Diagnosis in Endometriosis: Integrating Machine Learning, Deep Learning and Multi-Omics Biomarkers. Diagnostics (2075-4418), 16(12), 1823. https://doi.org/10.3390/diagnostics16121823

Chicago Style (17th ed.) Citation

Markov, Daniel, Jasmin Gurung, Usman Khalid, Kristian Bechev, Vladimir Aleksiev, Galabin Markov, and Elena Poryazova. "Emerging Pathways to Non-Invasive Diagnosis in Endometriosis: Integrating Machine Learning, Deep Learning and Multi-Omics Biomarkers." Diagnostics (2075-4418) 16, no. 12 (2026): 1823. https://doi.org/10.3390/diagnostics16121823.

MLA (9th ed.) Citation

Markov, Daniel, et al. "Emerging Pathways to Non-Invasive Diagnosis in Endometriosis: Integrating Machine Learning, Deep Learning and Multi-Omics Biomarkers." Diagnostics (2075-4418), vol. 16, no. 12, 2026, p. 1823, https://doi.org/10.3390/diagnostics16121823.