sMICA/sMICB and Immune Checkpoint in Endometriosis: Toward a Minimally Invasive Diagnostic Model Based on Machine Learning

sMICA/sMICB and Immune Checkpoint in Endometriosis: Toward a Minimally Invasive Diagnostic Model Based on Machine Learning Full article

Journal

Biomedicines
ISSN: 2227-9059

Output data

Year: 2026, Volume: 14, Number: 3, Article number : 647, Pages count : DOI: 10.3390/biomedicines14030647

Authors

Belevich Anastasia ¹ , Yarmolinskaya Maria ¹ , Smirnov Ilya ¹ , Stolbovaya Anastasia ¹ , Shashkova Olga ¹ , Samoylovich Marina ¹ , Selkov Sergey ¹ , Grebenkina Polina ¹ , Tyshchuk Elizaveta ¹ , Sokolov Dmitry ¹

Affiliations

1	Federal State Budgetary Scientific Institution, Research Institute of Obstetrics, Gynecology and Reproductology Named After D.O. Ott, 199034 St. Petersburg, Russia

Funding (1)

Министерство науки и высшего образования Российской Федерации

FGWN-2025-0004

Belevich A. , Yarmolinskaya M. , Smirnov I. , Stolbovaya A. , Shashkova O. , Samoylovich M. , Selkov S. , Grebenkina P. , Tyshchuk E. , Sokolov D.
sMICA/sMICB and Immune Checkpoint in Endometriosis: Toward a Minimally Invasive Diagnostic Model Based on Machine Learning
Biomedicines. 2026. V.14. N3. 647 . DOI: 10.3390/biomedicines14030647 WOS Scopus OpenAlex

≡ Web of science:	WOS:001725887400001
≡ Scopus:	2-s2.0-105034001969
≡ OpenAlex:	W7135170778