Endometriosis is a chronic inflammatory condition affecting 10% of reproductive-age women. Current treatments remain limited and non-curative. While its biology is largely informed by human biospecimens, sample heterogeneity and methodological …
This paper critically evaluates Sekiguchi et al.'s study of vaginal progesterone dose, serum progesterone thresholds, and reproductive outcomes in hormone replacement therapy frozen embryo transfer (HRT-FET) cycles. The study conflates …
Artificial intelligence (AI) has emerged as a transformative tool in radiological diagnosis, particularly in urogynaecology and obstetric disorders where accurate and timely imaging is essential. This narrative review evaluates current …
Transcriptome-based drug repurposing can accelerate therapeutic discovery, but is limited by fragmented resources, inconsistent quality control, and reliance on single perturbation databases. We developed CDRPipe ( C omputational D rug …
Endometriosis is a chronic gynecological disease characterized by the growth of endometrial-like tissue outside the uterus, leading to pelvic pain, infertility, and other major health complications. Though some studies have …
Precise staging of endometriosis remains a clinical challenge, as current diagnosis depends almost entirely on laparoscopic visualization-an invasive procedure marked by considerable inter-observer disagreement and diagnostic delays. Existing non-invasive approaches, …
This study is the first to develop and evaluate a machine learning (ML) model for predicting pelvic adhesions based on ultrasound features, utilizing the SHapley Additive Explanations (SHAP) framework for …
Upon exposure to biofluids, engineered nanoparticles (NPs) spontaneously form reproducible biomolecular coronas via selective diverse biomolecule adsorption. The corona characterization of metabolites poses greater analytical challenges than proteins due to …
Clinical limitations due to poverty significantly impact the lives and health of many individuals globally. Nevertheless, this challenge can be addressed with modern technologies, particularly through robotics and artificial intelligence. …