Bibliografie
[1] Endometriosis Associated-miRNome Analysis of Blood Samples: A Prospective Study.
Bendifallah S & al. Diagnostics. 2022; 12(5):1150. https://doi.org/10.3390/diagnostics12051150
[2] ESHRE Guideline Endometriosis
https://www.eshre.eu/Guidelines-and-Legal/Guidelines/Endometriosis-guideline
[3] Machine learning algorithms as new screening approach for patients with endometriosis
Bendifallah S., Suisse S., Puchar A., et al. I Janvier 2022. https://www.nature.com/articles/s41598-021-04637-2
[4] Clues for Improving the Pathophysiology Knowledge for Endometriosis Using Serum Micro-RNA Expression
Dabi Y & al. Diagnostics (Basel). 2022 Jan 12;12(1):175. doi:10.3390/diagnostics12010175. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774370/pdf/diagnostics-12-00175. pdf
[5] Salivary MicroRNA Signature for Diagnosis of Endometriosis
Bendifallah S., Suisse S., Puchar A., et al. I Janvier 2022. https://www.mdpi.com/1469000
[6] MicroRNome analysis generates a blood-based signature for endometriosis
Bendifallah S & al. Sci Rep. 2022 Mar 8;12(1):4051. doi: 10.1038/s41598-022-07771-7. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902281/pdf/41598_2022_ Article_7771.pdf
[7] Validation of the Salivary miRNA Signature of Endometriosis — Interim Data
Bendifallah S., Dabi Y., Suisse S., et al. | Juin 2023 https://evidence.nejm.org/doi/full/10.1056/EVIDoa2200282