Latest Articles

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

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

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.

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.

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.

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 …

Clitoria ternatea L. (Butterfly Pea) Flower Against Endometrial Pain: Integrating Preliminary In Vivo and In Vitro Experimentations Supported by Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation Studies.

Clitoria ternatea L. (CT) is a perennial herbaceous plant with deep blue flowers native to tropical Asia. This work explores the endometrial pain (EP) regulation of CT flower through a …

Artificial intelligence-assisted magnetic resonance imaging technology in the differential diagnosis and prognosis prediction of endometrial cancer - Nature.com

Artificial intelligence-assisted magnetic resonance imaging technology in the differential diagnosis and prognosis prediction of endometrial cancer Nature.com

Digital Twin of the Female Pelvic Floor.

Digital twin technology, originally developed for intricate physical systems, holds great potential in women's healthcare, particularly in the management of pelvic floor disorders. This paper delves into the development of …

miR-193b-5p and miR-374b-5p Are Aberrantly Expressed in Endometriosis and Suppress Endometrial Cell Migration In Vitro.

(1) Background: Endometriosis is a highly prevalent gynecological disease affecting 10% of women of reproductive age worldwide. miRNAs may play a role in endometriosis, though their exact function remains unclear. …