Infertility

Artificial sweeteners and male infertility: Network toxicology and experimental evidence reveal FGFR1 as the critical target.

BACKGROUND: Artificial sweeteners (ASs) are widely used sugar substitutes, but chronic exposure is linked to male infertility. We integrated computational prediction, network analysis, and wet-lab validation to explore mechanisms. METHODS: Seven ASs were screened in AdmetSAR 3.0; high-confidence positives were prioritized. Targets were predicted by SwissTargetPrediction, SEA, and TargetNet, and in...

Sleep Disorders and Male Infertility: Integrated Mechanisms and Precision Therapeutic Strategies.

BACKGROUND: Male factor infertility accounts for nearly half of infertility cases worldwide, yet modifiable lifestyle-related risk factors remain insufficiently integrated into andrological research and clinical practice. Sleep disorders have emerged as an increasingly important but underrecognized determinant of male reproductive health, with growing evidence linking disturbed sleep to impaired s...

Inflammation at the crossroads of reproduction: SIRI as a prognostic signature of female infertility in hybrid regression-machine learning models.

BACKGROUND: Female infertility is a critical global health concern, with a rising prevalence and significant psychosocial consequences. This study aim...

PCOSFusionNet: Hybrid Deep Feature Fusion Network for PCOS Classification from Ultrasound Images of Ovaries.

Polycystic Ovary Syndrome (PCOS) is a leading cause of female infertility and is associated with various health complications, including preterm abort...

The future of PCOS management: Disease modification through regenerative, metabolic, and digital therapeutics.

Polycystic ovary syndrome (PCOS) represents the leading endocrine problem affecting women of reproductive age, leading to serious complications relate...

Refined trajectory smoothing and deep learning classification of human sperm motility.

STUDY QUESTION: Can precise trajectory smoothing improve extraction of sperm motility features, and can deep learning on raw trajectory data enable ac...

[Efficacy prediction of acupuncture and moxibustion combined with conventional treatment for PCOS-IR based on real-world data: machine learning and interpretability analysis].

OBJECTIVE: To construct an efficacy prediction model for polycystic ovary syndrome with insulin resistance (PCOS-IR) treated with acupuncture and moxi...

Serum metabolic fingerprinting for diagnosis and therapeutic applications of ovarian endometriosis.

Ovarian endometriosis (OvE) is a gynecological disorder with endometrial tissue in the ovaries, for which effective non-invasive diagnosis and curativ...

Initial Results in the Automatic Visual Recognition of Endometriosis Lesions by Artificial Intelligence During Laparoscopy: A Proof-of-Concept Study.

COL14A1 drives ischemic cardiac injury in PCOS: an artificial intelligence-identified biomarker.

BACKGROUND: Polycystic ovary syndrome (PCOS) and ischemic cardiomyopathy (ICM) share metabolic and cardiovascular risk factors, including insulin resi...

Machine learning prediction of live birth after IVF using the morphological uterus sonographic assessment group features of adenomyosis.

From ChatGPT to UroGPT: A guideline-trained artificial intelligence model for male infertility.

BACKGROUND: ChatGPT is not yet sufficiently reliable for answering clinical questions relevant to direct patient care. We hypothesized that a GPT mode...

Integrated omics and machine learning uncover the molecular basis of environmental toxicant 6PPD-Qinduced non-obstructive azoospermia.

BACKGROUND: N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine-quinone (6PPD-Q), a transformation product of tire rubber antioxidants, has been increa...

Quality, Reliability, and Dissemination of In Vitro Fertilization-Related Videos on Chinese Social Media: Cross-Sectional Analysis of 300 Short Videos.

BACKGROUND: Patients increasingly rely on short-video platforms for information regarding in vitro fertilization (IVF), yet the relationship between t...

Sperm DNA fragmentation and its influence on mammalian reproduction.

Sperm DNA fragmentation is a recognized factor in male infertility with direct implications for embryo development, implantation and pregnancy outcome...

[Centennial evolution and innovative practices of functional protection in colorectal cancer surgery].

In the over-century-long history of colorectal tumor surgery, achieving organ function preservation has consistently been a central topic. Currently, ...

An Artificial Intelligence-Based Computer Vision Model for Human Sperm Concentration, Motility, and Kinematics Analysis.

Accurate assessment of sperm concentration and motility is critical for the diagnosis and management of male infertility. However, current methods, ma...

Artificial Intelligence in Gynecologic Imaging.

What was done? A review of artificial intelligence (AI) applications for the imaging of uterine fibroids, endometriosis, and adenomyosis. What was fou...

FTIR spectroscopy combined with machine learning reveals molecular signatures distinguishing three phenotypes of endometriosis.

Endometriosis is a chronic inflammatory disorder in which endometrial tissue grows outside the uterus, leading to pelvic pain and infertility. It rema...

Exploring the feature prioritization and data sampling of PCOS diagnosis via densely connected attention based squeeze deep learning detection model.

Accurate and timely diagnosis remains a challenge due to the complexity of Polycystic Ovary Syndrome (PCOS) symptoms and data imbalance issues in the ...