Cargando…
MicroRNome analysis generates a blood-based signature for endometriosis
Endometriosis, characterized by endometrial-like tissue outside the uterus, is thought to affect 2–10% of women of reproductive age: representing about 190 million women worldwide. Numerous studies have evaluated the diagnostic value of blood biomarkers but with disappointing results. Thus, the gold...
Autores principales: | Bendifallah, Sofiane, Dabi, Yohann, Suisse, Stéphane, Jornea, Ludmila, Bouteiller, Delphine, Touboul, Cyril, Puchar, Anne, Daraï, Emile |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902281/ https://www.ncbi.nlm.nih.gov/pubmed/35260677 http://dx.doi.org/10.1038/s41598-022-07771-7 |
Ejemplares similares
-
Clues for Improving the Pathophysiology Knowledge for Endometriosis Using Serum Micro-RNA Expression
por: Dabi, Yohann, et al.
Publicado: (2022) -
A Bioinformatics Approach to MicroRNA-Sequencing Analysis Based on Human Saliva Samples of Patients with Endometriosis
por: Bendifallah, Sofiane, et al.
Publicado: (2022) -
Endometriosis Associated-miRNome Analysis of Blood Samples: A Prospective Study
por: Bendifallah, Sofiane, et al.
Publicado: (2022) -
Salivary MicroRNA Signature for Diagnosis of Endometriosis
por: Bendifallah, Sofiane, et al.
Publicado: (2022) -
Machine learning algorithms as new screening approach for patients with endometriosis
por: Bendifallah, Sofiane, et al.
Publicado: (2022)