Infertility

Machine Learning-Based Prediction of Sperm Retrieval Outcomes in Patients With Klinefelter Syndrome: A Multicenter Study With External Validation.

BACKGROUND: The Klinefelter syndrome is a common genetic cause of male infertility, and testicular sperm extraction (TESE) enables sperm retrieval in a subset of affected patients. However, predicting TESE success remains challenging due to the heterogeneous clinical and endocrinological presentation of the Klinefelter syndrome. OBJECTIVES: We aimed to develop and externally validate machine learn...

Aspartame exposure promotes endometriosis progression through PTGS2-mediated oxidative stress and mitochondrial dysfunction.

BACKGROUND: Aspartame, a widely used artificial sweetener, has been implicated in multiple toxicities. However, its potential reproductive toxicity mechanisms remain unclear. This study aimed to investigate the underlying relationship between aspartame exposure and endometriosis pathogenesis. METHODS: Following the toxicity analysis of aspartame, we compiled its toxicity targets and simultaneously...

Emerging Bioengineering Technologies in Female Reproduction: Preclinical Advances, Translational Challenges, and Future Outlook.

Female infertility, which affects millions of couples globally, has been a highly focused research field owing to the importance of reproduction in hu...

The digital transformation of reproductive health: A comprehensive review of Femtech innovations and their clinical applications.

The digital transformation of reproductive health has been accelerated by rapid advances in Femtech, which offers new approaches to addressing inferti...

Mapping toxicity pathways of per- and polyfluoroalkyl substances using interpretable classification-based machine learning models.

Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants associated with adverse human health outcomes. However, experimen...

Comparative genomics and reproductive mechanisms of fertility in cattle and camels: Implications for assisted reproduction and precision breeding.

Fertility limits productivity in cattle and camels. Bovine fertility genomics is advanced, but determinants of fertility in camels remain poorly defin...

Clinical applications of digital twin technology in In Vitro Fertilisation.

BACKGROUND: Digital twin technology, originating from aerospace and manufacturing industries, has emerged as a transformative tool in healthcare. In v...

AI-enabled precision reproductive medicine: a comprehensive review of clinical applications, decision frameworks, and evidence-based implementation.

Infertility represents a growing global health challenge, intensifying the demand for advanced assisted reproductive technology (ART). Artificial inte...

Automation in the IVF laboratory in 2026: four technology domains, an asymmetric evidence base, and the case for parallel development with clinician-side automation.

BACKGROUND: Operator-dependent laboratory tasks-embryo selection, vitrification and warming, and intracytoplasmic sperm injection (ICSI)-have been the...

Development of an Interpretable Machine Learning Model for Predicting Clavien-Dindo Grade ≥2 Complications after Unilateral Minimally Invasive Pyeloplasty in UPJO: A Retrospective Cohort Study.

BACKGROUND: Minimally invasive pyeloplasty (MIP), encompassing both conventional laparoscopy and robot-assisted approaches, has become the primary tre...

Path beyond the blind end-unravel the imaging spectrum of appendiceal pathologies.

The appendix is involved in a diverse spectrum of inflammatory, infectious, benign, and malignant conditions that extend far beyond acute appendicitis...

A Risk Score for Polycystic Ovary Syndrome Based on Meta-Analysis and Machine Learning of Gut Microbiota Signatures.

Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine and metabolic disorder among reproductive-age women, in which emerging evidence suggests a s...

[Robotics in oncological surgery].

Robotic surgery actually refers to mechanized, remote instrumentation that offers greater agility in terms of degrees of freedom compared to classical...

E-InfertilityTest: Implementing an explainable AI framework for male infertility assessment.

Male infertility has emerged as a significant concern in modern society, with genetic defects as one of the major underlying cause behind it. This imp...

Uterine microbiome signatures associated with endometriosis.

BACKGROUND: Endometriosis is a chronic inflammatory disorder affecting ~ 10% of reproductive-age women, often causing pelvic pain and infertility. Des...

Endometriosis and the mental health burden: a registry-based study of redeemed prescriptions and psychiatric hospital contacts before and after diagnosis of endometriosis.

STUDY QUESTION: Do women with endometriosis have a higher use of antidepressants and anxiolytics, and more frequent psychiatric hospital contacts due ...

Construction and validation of a preimplantation kinship identification model using ultra-low-depth whole genome sequencing.

Errors during in vitro fertilization (IVF) workflows pose significant risks; yet, existing quality control measures remain insufficient. Herein, we de...

Analysis of blastocyst morphokinetics assessed by time-lapse technology and its correlation with human IVF treatment outcome.

Human embryo selection in in vitro fertilisation (IVF) treatments is traditionally based on evaluating cell number, morphology, and fragmentation to s...

Shaping the future of endourology: role of education, simulation and uro-technology: a scoping review by the EAU Section of Endourology.

PURPOSE OF REVIEW: This scoping review synthesizes contemporary evidence on the role of simulation, uro-technology and structured training curricula i...

Interpretable machine learning for endometriosis classification: a rule-based approach.

BACKGROUND: Endometriosis is a chronic gynecological disease characterized by the growth of endometrial-like tissue outside the uterus, leading to pel...