Objective To assess the diagnostic accuracy of machine learning (ML) and deep learning (DL) models for endometriosis. Methods A systematic review and meta-analysis were conducted in accordance with PRISMA guidelines (PROSPERO: CRD4202512314…
PURPOSE: To compare the effects of the gonadotrophin-releasing hormone (GnRH) agonist protocol, GnRH antagonist protocol, progestin-primed ovarian stimulation (PPOS) protocol, and mild stimulation/natural cycle protocol on the cumulative li…
Patients with systemic lupus erythematosus (SLE) often have decreased fertility. Gene translation is crucial to oocyte meiosis and development. However, it remains unclear how SLE affects this process. Here, we used single-cell transcriptom…
BACKGROUND: Endometriosis and its associated gynecological diseases such as female infertility and primary ovarian failure (POF), impose a long-term disease burden on women. This study aims to explore the causal relationships between these …
BACKGROUND: Polycystic ovary syndrome (PCOS) is known to be associated with chronic low-grade inflammation and endometrial dysfunction. Chronic endometritis (CE) is a type of local inflammation that can contribute to endometrial dysfunction…
Circulating microRNAs (miRNAs) can serve as noninvasive biomarkers for endometriosis, but their diagnostic and prognostic values require investigation. This study evaluated the potential of 6 miRNAs in diagnosing endometriosis and predictin…
To explore the expression profiles of mRNAs, long-noncoding RNAs (lncRNAs), circular RNAs (circRNAs) and construct the competitive endogenous RNA networks in granulosa cells (GCs) of infertile women with ovarian endometriosis. RNA sequencin…
BACKGROUND: Adenomyosis affects the outcomes of spontaneous fertility and assisted reproductive technology. The single blastocyst embryo transfer (SBT) policy is an effective strategy known to minimize the risk of multiple pregnancy for non…