sMICA/sMICB and Immune Checkpoint in Endometriosis: Toward a…
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- DOI 10.3390/biomedicines14030647
- PMID https://pubmed.ncbi.nlm.nih.gov/41898293
- OpenAlex ID W7135170778
- Type Article
- Language EN
- Published 12 Mar 2026
- Volume 14 (3)
- Pages 647
- Source Biomedicines
- Publisher Multidisciplinary Digital Publishin…
- FWCI 9.49
- Countries 1
- Institutions 1
- Added 14 Mar 2026
- Updated 14 Oct 2026
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sMICA/sMICB and Immune Checkpoint in Endometriosis: Toward a Minimally Invasive Diagnostic Model Based on Machine Learning
Article 2026 EN Gold
Background: Endometriosis is a complex condition that impairs women’s quality of life and reproductive potential. Its diagnosis remains significant challenge for clinicians. The aim of the study was to investigate cancer-like immune evasion mechanisms in endometriosis and to develop a novel diagnostic model using machine learning. Methods: In this study, we measured the levels of soluble forms of…
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1 SDGsAuthors & Affiliations
10 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | A. S. Belevich Corresponding | Research Institute of Obstetri… (RU) | — |
| 2 | Maria Igorevna Yarmolinskaya | Research Institute of Obstetri… (RU) | |
| 3 | Ilya Smirnov | Research Institute of Obstetri… (RU) | — |
| 4 | A. Yu. Stolbovaya | Research Institute of Obstetri… (RU) | |
| 5 | O. Shashkova | Research Institute of Obstetri… (RU) | — |
| 6 | Marina Samoylovich | Research Institute of Obstetri… (RU) | — |
| 7 | S. А. Selkov | Research Institute of Obstetri… (RU) | |
| 8 | Гребенкина Полина Владимировна | Research Institute of Obstetri… (RU) | |
| 9 | Elizaveta V. Tyshchuk Corresponding | Research Institute of Obstetri… (RU) | |
| 10 | Dmitry Sokolov | Research Institute of Obstetri… (RU) |
Data: OpenAlex