To develop and internally validate machine-learning models for non-invasive triage of women at risk for endometriosis using structured clinical variables in a laparoscopically and histologically verified cohort.
Background/Objectives: This study evaluates the 1-year follow-up outcomes after minimally invasive nerve-sparing surgery for the complete excision of deep endometriosis (DE), with a specific focus on deep dyspareunia. Cases with …
Male puberty is understudied — but when it starts may predict long-term health risks statnews.com
Psychological distress and reduced health-related quality of life are common among women with endometriosis, particularly when the condition is accompanied by chronic pain. Psychological flexibility (PF), a core process in …
An AI model decodes tumor mutations to predict treatment response Drug Discovery News
Mycotoxins are widespread food contaminants, and urinary biomarkers reflect recent dietary exposure. Although mycotoxins have been implicated in reproductive toxicity, their impact on human oocyte and embryo development remains poorly …
Cesarean section has become a frequent mode of delivery in the last few decades. While generally regarded as a safe procedure, it is not free of potential complications, often requiring …
Background and Objectives: Endometriosis is a multifactorial gynecological condition associated with impaired fertility; however, its impact on embryo competence remains incompletely understood. This study aimed to evaluate embryo competence through …
Endometriosis, affecting 1 in 9 women, presents treatment and diagnostic challenges. To address these issues, we generated a comprehensive single-cell atlas of endometrial tissue, comprising 466,371 cells from 35 endometriosis …
This study aims to propose a novel, reproducible transvaginal ultrasound (TVUS) measurement-anterior-posterior wall thickness of the uterine isthmus ratio (APTUIR)-and to construct a nomogram model integrating this parameter with other …