Infertility

Integrative Transcriptomic Analysis Identifies a Key Candidate Gene Bridging Inflammation and DNA Repair in Endometriosis.

BACKGROUND: Endometriosis is a chronic, estrogen-dependent inflammatory disorder characterized by the ectopic implantation of endometrial-like tissue. Although retrograde menstruation is highly prevalent, only a subset of women develops the disease. This epidemiologic paradox suggests that intrinsic molecular alterations in the eutopic endometrium may precondition refluxed cells to survive under i...

[Endometriosis pain research in Germany : ENDO-PAIN and StEPP-UPP-two new research consortia on endometriosis pain].

Endometriosis is one of the most common causes of chronic pelvic or lower-abdominal pain, yet mechanisms, predictors, and patient-centered treatment pathways remain insufficiently defined. This article summarizes the situation in Germany and presents two complementary research consortia: StEPP-UPP and ENDO-PAIN.StEPP-UPP addresses the clinical heterogeneity of endometriosis pain via a prospective ...

Explainable machine learning for automated robotic surgical skill assessment using rich kinematic features.

Robotic-assisted surgery (RAS) extends minimally invasive surgery by restoring dexterity, tremor filtration, and ergonomic console control compared wi...

Bioinformatics, Machine Learning and Functional Validation Reveal Mitophagy-Related FABP5 and HMOX1 as Diagnostic and Therapeutic Targets in Polycystic Ovary Syndrome.

Polycystic Ovary Syndrome (PCOS) is a heterogeneous endocrine-metabolic disorder characterized by ovulatory dysfunction, hyperandrogenism, and insulin...

AI-based techniques in sperm detection.

PURPOSE OF REVIEW: Artificial intelligence (AI) is emerging as a promising tool for sperm detection in men with azoospermia and cryptozoospermia, cond...

Mapping ovarian cellular and molecular landscape across the lifespan of women: a scoping review.

BACKGROUND: With growing interest in ART, fertility preservation, and postmenopausal health of women, reproductive medicine is increasingly focused on...

Development and Validation of a Multimodal-Multitask Deep Learning Approach for Estimating Late Distant Recurrence Risk in HR-Positive Early Breast Cancer.

Late distant recurrence (DR) remains a persistent risk in hormone receptor-positive (HR+) early breast cancer after completion of 5 years of endocrine...

Metabolic imaging for gamete and embryo assessment through advanced microscopy technologies: a novel avenue for artificial intelligence?

Infertility affects approximately one in six people globally and demand for ARTs, is expected to rise as parenthood is increasingly delayed. However, ...

Endometriosis Unveiled: Innovations in Diagnosis and Management of Endometriosis.

Endometriosis is a chronic inflammatory condition that can result in chronic pain through complex nociceptive, neuropathic, and nociplastic pathways. ...

Development and validation of a machine learning-based model for predicting live birth outcomes in patients undergoing frozen-thawed embryo transfer.

BACKGROUND: Infertility affects millions of people worldwide, imposing substantial psychological, economic, and social burdens on patients. Although f...

Transcriptomic profiling of exRNA from spent human embryonic-cleavage culture medium reveals potential in embryo quality assessment：a retrospective study.

The exRNA transcriptome of the preimplantation embryo culture medium constitutes a comprehensive profile of embryonic RNAs, offering a non-invasive re...

Germinal vesicle oocytes' rescue: a worthless treatment or a patient-centred approach? Eight years of clinical experience in poor prognosis patients.

STUDY QUESTION: Does germinal vesicle (GV) rescue by IVM provide a meaningful clinical benefit in patients with unexpectedly low mature oocyte yield, ...

A systematic approach to standardizing the visual appearance of endometriotic lesions for artificial intelligence recognition.

INTRODUCTION: Numerous studies have shown that the diagnostic performance and reproducibility of visual recognition of endometriosis during laparoscop...

Development of a machine learning-based model for predicting adverse pregnancy outcomes in women with polycystic ovary syndrome (PCOS): a retrospective observational study protocol.

INTRODUCTION: Polycystic ovary syndrome (PCOS) is a prevalent endocrine condition in reproductive-aged women, which is associated with adverse materna...

Bioinformatics and multi-omics approaches in male infertility: implications for diagnosis and assisted reproduction.

Male infertility accounts for approximately 40-50% of infertility cases worldwide and represents a complex, multifactorial condition influenced by gen...

A Review of microRNAs in the Post-transcriptional Regulation and its Clinical Manifestation in the Polycystic Ovary Syndrome.

MicroRNAs (miRNAs) are single stranded, short, non-coding, and highly conserved RNA molecules with around 22 nucleotides. They regulate gene expressio...

Nanotechnology in reproductive medicine: from gamete engineering to precision therapeutics.

Infertility represents a significant global health burden, necessitating advanced therapeutic interventions. While Assisted Reproductive Technologies ...

Using machine learning to discriminate non-classical 21-hydroxylase deficiency from polycystic ovary syndrome: an external validation study.

INTRODUCTION: Nonclassical 21-hydroxylase deficiency (NC21OHD) is a rare autosomal recessive disorder that is frequently misdiagnosed as polycystic ov...

Construction and validation of a machine learning model for predicting early pregnancy in patients with polycystic ovary syndrome: a retrospective cohort study.

OBJECTIVE: Polycystic ovary syndrome (PCOS) is a leading cause of female infertility, and early pregnancy outcomes in affected women are affected by m...

PCOSFusion: a hybrid HOG-LBP feature-based approach for PCOS classification using StackPCOS and StackBoostPCOS.

Polycystic Ovary Syndrome (PCOS) is a prevalent condition affecting female reproductive health, where early and accurate detection through image analy...