Machine learning models for non-invasive endometriosis triage using a laparoscopically and histologically verified cohort.
To develop and internally validate machine-learning models for non-invasive triage of women at risk for endometriosis using structured clinical variables in a laparoscopically and histologically verified cohort.
Out of pocket expenditure incurred by couples seeking infertility services at tertiary level facilities in India.
Background and objectives Diagnosis and treatment of infertility, mostly sought at tertiary facilities, contribute to substantial out-of-pocket expenditure (OOPE). This study estimated OOPE among couples seeking care for endometriosis, male …
HEXACHLOROBENZENE AND CHLORPYRIFOS, ENVIRONMENTAL POLLUTANTS THAT DISRUPT THE ENDOCRINE SYSTEM, PROMOTE ANGIOGENESIS ASSOCIATED WITH ENDOMETRIOSIS.
Endometriosis defined by the growth of endometrial tissues outside the uterus, affects women of reproductive age. A critical process in endometriosis progression, angiogenesis involves endothelial cell migration, proliferation and tube …
Gut microbiota dysbiosis in endometriosis: mechanistic insights and gut microbiota-targeted therapeutic strategies.
Endometriosis (EMs) is a prevalent, estrogen-dependent gynecological disorder characterized by the ectopic implantation and proliferation of endometrial-like tissue outside the uterine cavity, affecting approximately 10% of reproductive-aged women globally. Despite …