Obstetrics & Gynecology

CervicalMethDx: a precision DNA methylation test to identify risk of high-grade intraepithelial lesions in cervical cancer screening algorithms.

Cervical cancer is one of the most common cancers in women. Despite progress in prevention and success in early detection through cytologic screening and Human Papilloma Virus (HPV) detection, there remains a challenge in triaging women appropriately to colposcopy and biopsy. We sought to validate the CervicalMethDx test, a precision DNA methylation classifier for cervical cancer detection, as a r...

To explore the molecular mechanisms and shared genetic characteristics of rheumatoid arthritis and cervical cancer based on multiple omics and clinical samples.

OBJECTIVE: The potential association between rheumatoid arthritis (RA) and cervical cancer risk is still debated and necessitates additional clinical investigations. This study aimed to explore this relationship using Mendelian randomization and multi-omics analysis, aiming to enhance insights and reduce redundancy.

Recent Advances in Applications of Machine Learning in Cervical Cancer Research: A Focus on Prediction Models.

Artificial intelligence (AI) and machine learning (ML) are transforming cervical cancer research and offering advancements in diagnosis, prognosis, sc...

Development of CSOARG: a single-cell and multi-omics-based machine learning model for ovarian cancer prognosis and drug response prediction.

OBJECTIVE: Ovarian cancer is the most deadly gynaecological malignancy. This study aims to generate a predictive model for prognosis and therapeutic r...

Magnetoliposomes for nanomedicine: synthesis, characterization, and applications in drug, gene, and peptide delivery.

INTRODUCTION: Magnetoliposomes represent a transformative advancement in nanomedicine by integrating magnetic nanoparticles with liposomal structures,...

Empirical Mode Decomposition and Grassmann Manifold-Based Cervical Cancer Detection.

Cervical cancer is a prevalent malignancy affecting the female reproductive system and is recognized as a prominent factor to female mortality on a gl...

An automatic approach for the classification of lumpy skin disease in cattle.

Lumpy Skin Disease (LSD) presents significant risks and economic challenges to global cattle farming. Effective and accurate classification of LSD is ...

C2 pars interarticularis length on the side of high-riding vertebral artery with implications for pars screw insertion.

C2 pars interarticularis length (C2PIL) required for pars screws has not been thoroughly studied in subjects with high-riding vertebral artery (HRVA)....

AI-Augmented Advances in the Diagnostic Approaches to Endometrial Cancer.

BACKGROUND: Endometrial cancer (EC) is the most common gynecological malignancy in developed countries, with diagnostic accuracy and early detection b...

PlaNet-S: an Automatic Semantic Segmentation Model for Placenta Using U-Net and SegNeXt.

This study aimed to develop a fully automated semantic placenta segmentation model that integrates the U-Net and SegNeXt architectures through ensembl...

Multiple Instance Learning for the Detection of Lymph Node and Omental Metastases in Carcinoma of the Ovaries, Fallopian Tubes and Peritoneum.

: Surgical pathology of tubo-ovarian and peritoneal cancer carries a well-recognised diagnostic workload, partly due to the large amount of non-primar...

Identification of a novel chemotherapy benefit index for patients with advanced ovarian cancer based on Bayesian network analysis.

BACKGROUND: This study aims to evaluate the efficacy of chemotherapy and optimize treatment strategies for patients with advanced ovarian cancer.

Development and validation of a LASSO logistic regression based nomogram for predicting live births in women with polycystic ovary syndrome: a retrospective cohort study.

OBJECTIVE: There is limited study on predictive models for live births in patients with polycystic ovarian syndrome (PCOS). The study aimed to develop...

Recent progress in surgical treatment of cervical spine myelopathy - A narrative review.

Surgical techniques and technology for cervical spondylotic myelopathy (CSM) have demonstrated remarkable advancement during the past decade. This nar...

Machine learning and deep learning to improve overall survival prediction in cervical cancer patients.

BACKGROUND: Cervical cancer (CC) is one of the most common gynecological malignancies. Previous studies have shown that the prognosis of CC is affecte...

Promises and perils of generative artificial intelligence: a narrative review informing its ethical and practical applications in clinical exercise physiology.

Generative Artificial Intelligence (GenAI) is transforming various sectors, including healthcare, offering both promising opportunities and notable ri...

Advances in brain-targeted delivery strategies and natural product-mediated enhancement of blood-brain barrier permeability.

The blood-brain barrier (BBB) represents a formidable challenge in the treatment of neurological disorders, as it restricts the passage of most therap...

Radiomics based on dual-energy CT for noninvasive prediction of cervical lymph node metastases in patients with nasopharyngeal carcinoma.

INTRODUCTION: To develop and validate a machine learning model based on dual-energy computed tomography (DECT) for predicting cervical lymph node meta...

Validity and Reliability of an Artificial Intelligence-Based Posture Estimation Software for Measuring Cervical and Lower-Limb Alignment Versus Radiographic Imaging.

: Accurate postural assessment is essential for managing musculoskeletal disorders; however, routine screening is often limited by radiation exposure,...

A novel network architecture for post-applicator placement CT auto-contouring in cervical cancer HDR brachytherapy.

BACKGROUND: High-dose-rate brachytherapy (HDR-BT) is an integral part of treatment for locally advanced cervical cancer, requiring accurate segmentati...