Latest Articles

Publication Date
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 …

Published: Dec. 16, 2024, midnight
Influencing factors and prediction model construction for recurrence in patients with ovarian endometriosis after laparoscopic conservative surgery.

To investigate the factors influencing recurrence following laparoscopic conservative surgery in patients with ovarian endometriosis (OEM) and to develop a predictive model.

Published: Dec. 15, 2024, midnight
miR-375-3p predicts the severity of endometriosis and regulates cellular progression by targeting NOX4.

Due to the complex pathogenesis of endometriosis, its early screening and development prediction are still challenging problems in the clinic.

Published: Dec. 11, 2024, midnight
A Nomogram Model for Predicting Clinical Pregnancy after Fresh IVF/ICSI-ET in Patients with Infertility and Endometriosis.

To determine the clinical and embryo laboratory factors that affect the clinical pregnancy rate of infertile patients with endometriosis (EMs), and establish a model for predicting clinical pregnancy.

Published: Dec. 10, 2024, midnight
Evaluating systemic immune-inflammation indices as predictive markers for endometriosis diagnosis: A retrospective observational study.

Endometriosis is a chronic inflammatory disease for which there is currently no accurate screening test to identify or predict the probability of the disease in individuals. This can often lead …

Published: Dec. 9, 2024, midnight
Assessing the Accuracy of Cardiovascular Disease Prediction Using Female-Specific Risk Factors in Women Aged 45 to 69 Years in the UK Biobank Study.

Cardiovascular disease (CVD) is the leading cause of mortality in women. We aimed to assess whether adding female-specific risk factors to traditional factors could improve CVD risk prediction.

Published: Dec. 6, 2024, midnight
Human-AI collaborative multi-modal multi-rater learning for endometriosis diagnosis.

Endometriosis, affecting about 10% of individuals assigned female at birth, is challenging to diagnose and manage. Diagnosis typically involves the identification of various signs of the disease using either laparoscopic …

Published: Dec. 2, 2024, midnight
Endometrial expression of ERRβ and ERRγ: prognostic significance and clinical correlations in severe endometriosis.

Endometriosis (EMs) results in approximately 50% of reproductive-age women facing infertility. Currently, no precise model is available to predict successful postoperative pregnancy.

Published: Nov. 29, 2024, midnight
A Model for Predicting Severe Intra-Abdominal Adhesions following Prior Cesarean Sections.

The increasing rate of cesarean sections (CSs) raises concerns over severe intra-abdominal adhesions, which are associated with numerous complications. We aimed to identify risk factors and predictive tools for severe …

Published: Nov. 28, 2024, midnight
Identification and verification of diagnostic biomarkers for deep infiltrating endometriosis based on machine learning algorithms.

This study addresses the challenges in the early diagnosis of deep infiltrating endometriosis (DIE) by exploring the potential role of the deubiquitinating enzyme USP14. By analyzing the GSE141549 dataset from …

Published: Nov. 25, 2024, midnight
Link copied to clipboard!
Subscribe to Our Newsletter

Stay updated with our latest articles!