Latest Articles

A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer | Scientific Reports - Nature.com

A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer | Scientific Reports Nature.com

A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer - Nature.com

A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer Nature.com

Nuclear Receptor Subfamily 4 Group A Member 3: A Potential Marker of Endometriosis.

Nuclear receptor subfamily 4 group A member 3 (NR4A3) is lowly expressed in ectopic endometrium and can be degraded by ubiquitination in vascular endothelial cells. Murine double minute 2 (MDM2) …

Predictors of anxiety in endometriosis patients.

To evaluate the main factors influencing anxiety in endometriosis patients presenting to an endometriosis centre in Germany.

Predicting immunotherapy efficacy in endometrial cancer: focus on the tumor microenvironment - Frontiers

Predicting immunotherapy efficacy in endometrial cancer: focus on the tumor microenvironment Frontiers

Deep learning for endometrial cancer subtyping and predicting tumor mutational burden from histopathological slides - Nature.com

Deep learning for endometrial cancer subtyping and predicting tumor mutational burden from histopathological slides Nature.com

Using the Theory of Planned Behavior to predict information- and support-seeking on Facebook in people with endometriosis.

Many people with endometriosis want to learn more about their condition and connect with others for support. Frequently they turn to social media site Facebook to do so. This study …

Editorial: Participant characteristics and biological markers for endometriosis diagnosis or prediction of treatment response.

Serum-derived small extracellular vesicles as biomarkers for predicting pregnancy and delivery on assisted reproductive technology in patients with endometriosis - Frontiers

Serum-derived small extracellular vesicles as biomarkers for predicting pregnancy and delivery on assisted reproductive technology in patients with endometriosis Frontiers

Anogenital distance on MRI does not correlate to surgical diagnosis of endometriosis in patients without prior abdominal surgery.

Anogenital distance (AGD) is regarded as a potential biomarker for endometriosis, and a measurement on MRI images has been found to be promising. This study aimed to evaluate the measurement …