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

<b>Background:</b> 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 d...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Anastasia Belevich, Maria Yarmolinskaya, Ilya Smirnov, Anastasia Stolbovaya, Olga Shashkova, Marina Samoylovich, Sergey Selkov, Polina Grebenkina, Elizaveta Tyshchuk, Dmitry Sokolov
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2026-03-01
Saila:	Biomedicines
Gaiak:	endometriosis minimally invasive diagnosis machine learning MICA MICB endoglin
Sarrera elektronikoa:	https://www.mdpi.com/2227-9059/14/3/647
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!