Insights and limitations of endometrial cancer risk prediction models for clinical applicability: a systematic review BMC Cancer
Endometriosis is a long-term health problem that affects a significant number of women globally. Among the various forms of endometriosis, ovarian endometriosis (OEM) is the most prevalent. This research aimed …
Endometriosis (EMs) and recurrent miscarriage (RM) represent major reproductive health challenges. This study investigates the involvement of endothelial-mesenchymal transition (EndMT) in these conditions through integrative bioinformatics analysis, focusing on the …
Fresh embryo transfer reduces waiting time and minimizes embryo cryodamage for endometriosis (EM) patients. The current prediction models for fresh embryo transfer outcomes in EM primarily rely on logistic regression, …
Each year, over 700,000 pregnancies occur in the UK, with up to 10% affected by complications such as hypertensive disorders of pregnancy and gestational diabetes mellitus. Pregnancy-related complications and reproductive …
Multi-omics data are instrumental in obtaining a comprehensive picture of complex biological systems. This is particularly useful for women's health conditions, such as endometriosis which has been historically understudied despite …
To develop and validate a nomogram prediction model for chronic pain after hysterectomy for uterine fibroids.
Analysis of the influencing factors for adverse reproductive outcomes in patients with positive TPOAb and the establishment of a nomogram prediction model Nature
Ultrasonic prediction model using three-dimensional power doppler for endometrial cancer detection in women with postmenopausal bleeding Nature
Endometriosis and Recurrent Implantation Failure (RIF) are both pivotal clinical issues within the realm of reproductive medicine, sharing significant overlap in their pathophysiological mechanisms. However, research exploring the commonalities between …