Machine learning-based integrated identification of predictive combined diagnostic biomarkers for endometriosis.
Background: Endometriosis (EM) is a common gynecological condition in women of reproductive age, with diverse causes and a not yet fully understood pathogenesis. Traditional diagnostics rely on single diagnostic biomarkers …
Transgender and non-binary people's perception of their healthcare in relation to endometriosis.
Endometriosis is described as a gynecological disease that can severely impact on people's quality of life. Much of endometriosis research and literature is focused on cis women, although gender diverse …
Causal effects of genetically predicted endometriosis on breast cancer: a two-sample Mendelian randomization study.
This study used a Mendelian randomization (MR) approach to investigate the causal relationship between genetically predicted endometriosis (EMS) and breast cancer risk. A total of 122,977 cases and 105,974 controls …