Infertility

Single-cell profiling and machine learning identify cuproptosis-related fibroblast subpopulations and fibrogenesis modulator AEBP1 in endometriosis.

Endometriosis is characterized by progressive fibrosis and limited therapeutic options. Cuproptosis, a copper-dependent form of regulated cell death, has been implicated in multiple pathological conditions, but its relevance to fibroblast-mediated fibrotic progression in endometriosis remains unclear. Single-cell RNA sequencing data from normal, eutopic, and ectopic endometrial tissues were analyz...

Explainable TabNet for gestational diabetes prediction with physician-in-the-loop and multi-site clinical validation.

BACKGROUND: Gestational diabetes mellitus (GDM) affects 15-25% of pregnancies worldwide and poses serious risks of macrosomia, preeclampsia, neonatal hypoglycaemia, and long-term type 2 diabetes. Existing machine learning models lack prospective multi-site external validation and formal physician trust evaluation, limiting real-world applicability. OBJECTIVES: To develop a clinically validated, ex...

Whole genome methylation profiling of menstrual stem cells identifies novel biomarkers for endometriosis.

BACKGROUND: Endometriosis, despite its high prevalence, is underdiagnosed and poorly managed due to lack of clinically validated biomarkers and pathop...

Laparoscopic Roux-en-Y Gastric Bypass with the Maestro™ System: a Novel Collaborative Robotic Platform.

BACKGROUND: Laparoscopic Roux-en-Y gastric bypass (LRYGB) is a cornerstone of bariatric surgery, yet its complexity poses challenges in visualization ...

Application of artificial intelligence based on contrast-enhanced CT imaging for predicting peritoneal metastasis in patients with T3/T4 stage gastric cancer.

Gastric cancer, prevalent in East Asia, often presents with peritoneal metastasis at diagnosis, limiting surgical options and reducing survival rates....

Maternal genetic variants associated with aneuploid conception: a narrative review.

BACKGROUND: Human aneuploid conception, a leading cause of infertility, pregnancy loss, and congenital disorders (e.g. Down's syndrome), arises from e...

Use of artificial neural network optimization for MHD and non-Newtonian peritoneal Jeffery nanofluid dynamics on female reproductive health.

The dynamics of peritoneal fluid has vital applications in various physiological functions, particularly in female reproductive physiology, which modu...

How robotic platforms have expanded the boundaries of minimally invasive surgery: a narrative review.

Robotic surgery has evolved from a technological adjunct into a major platform for extending the reach of minimally invasive surgery (MIS). In contras...

Fertility care in the age of algorithms: opportunities and risks of AI and social media integration in reproductive medicine.

Media representations have long influenced public understandings of infertility and assisted reproductive technologies (ART), with traditional media f...

Artificial intelligence in ovarian pathophysiology and management: a systematic review and meta-analysis.

BACKGROUND: The integration of artificial intelligence (AI) into reproductive medicine and gynecologic oncology has driven transformative advances in ...

Bridging the Gap Between Artificial Intelligence and Clinical Readiness in Endometriosis Diagnosis: A Systematic Review.

OBJECTIVE: To systematically evaluate the methodological quality and diagnostic performance of artificial intelligence (AI) applications, specifically...

Integrative gene ontology-driven analysis of the eutopic endometrium reveals key dysregulated functionomes and pathways in endometriosis.

BACKGROUND: Endometriosis is a chronic estrogen-dependent inflammatory disorder associated with pelvic pain, infertility, and an increased risk of end...

From determinism to probability: integrating artificial intelligence into male infertility genetics.

Artificial Intelligence in Minimally Invasive Gynecological Surgery: A Systematic Review of Task- Specific Performance and Clinical Translational Readiness.

OBJECTIVE: To systematically evaluate the task-specific performance and clinical translational readiness of artificial intelligence (AI) applications ...

High-Throughput Imaging Cytometry paired with Artificial Intelligence Identifies Ultra-Rare Sperm in Men previously Diagnosed with Clinical Azoospermia.

OBJECTIVE: To determine whether a novel diagnostic platform which pairs high-throughput imaging cytometry with Artificial Intelligence (AI) assisted i...

Associations Between Perceived Stress and Sperm DNA Methylation Among Men Attending a Fertility Center.

BACKGROUND: Stress has been negatively associated with reproductive outcomes, including poor semen quality in men; however, the molecular mechanisms u...

[Current status and future perspectives of precision treatment for locally advanced rectal cancer].

The treatment paradigm for locally advanced rectal cancer is undergoing a fundamental transformation from the traditional fixed triad of "radiotherapy...

Integrating Sperm Microscopy, Environmental Exposures, and Lifestyle Factors for Male Fertility Analysis: Protocol for the Nippon Semen and Environmental Exposure Database (N-SEED) Cross-Sectional Study.

BACKGROUND: Conventional semen analysis does not fully capture male reproductive potential. The sperm DNA fragmentation index (DFI) may detect latent ...

Cytoplasmic lattices are megadalton storage complexes in mammalian oocytes.

Mammalian oocytes store proteins for embryonic development on abundant structures known as cytoplasmic lattices (CPLs)1; however, the mechanisms by wh...

A machine learning-assisted approach to explain key determinants for achieving live birth in autologous ICSI cycles.

PURPOSE: Can an explainable machine learning-assisted approach uncover data and prediction trends to select the most transparent model for live birth ...