Circadian rhythms are ~24 h endogenous rhythms driven by both central and peripheral clocks, with their core mechanism being a transcription‑translation feedback loop mediated by master clock genes. The present …
Endometriosis is a common, estrogen-driven chronic gynecologic disorder defined by the ectopic growth of endometrial-like tissue within the peritoneal cavity. Existing treatment options, primarily surgery and hormonal therapy, are limited …
Endometriosis is a chronic estrogen-dependent disorder that is generally localized in the pelvis affecting up to 10% of women in the reproductive age. Extra-pelvic locations are estimated to 9% of …
MicroRNAs (miRNAs), a category of small (18-25 nucleotides) non-coding transcripts that modulate gene expression at the post-transcriptional level, are necessary for regulatory processes in female reproduction, specifically in ovarian function …
The clinical management of endometriosis encounters a significant obstacle: existing therapies inadequately address both the inhibition of ectopic lesion proliferation and the mitigation of the neuroinflammation associated with chronic pain. …
Endometriosis, a prevalent gynecological disease affecting women's health, involves altered immune function. This study investigates the immune checkpoint protein, V-domain immunoglobulin suppressor of T cell activation (VISTA) as a therapeutic …
Diaphragmatic endometriosis is a rare and often underrecognized manifestation of extrapelvic endometriosis that may lead to severe complications such as diaphragmatic rupture or herniation. We report the case of a …
Endometriosis is a chronic gynecological disease characterized by the presence of ectopic endometrium. Achieving effective therapeutic outcomes for endometriosis has always been a significant clinical hurdle because of the high …
Culturally and linguistically diverse (CALD) women make up an important population of women with endometriosis in Australia. However, their experiences with the condition, particularly regarding their experiences with information on …
Artificial intelligence (AI)-based algorithms are being implemented in breast screening to detect breast cancers on mammographic images. We aimed to apply an epidemiological approach to demonstrate how a cancer detection …