Obstetrics & Gynecology

Artificial intelligence applications in gynecological cancer detection.

Enhanced predictive performance of artificial intelligence in individualized ovarian stimulation of in vitro fertilization: a retrospective cohort study.

BACKGROUND: Over 2.5 million cycles in vitro fertilization (IVF) are conducted annually, and numbers...

Implementing a machine learning model to predict continuation of contraception among women aged 15-49: secondary data analysis of the last 4 demographic and health surveys in the majority of West African countries.

Enhanced Transcytosis and Retention (ETR) of Drug Delivery Nanocarrier in Solid Tumors.

ConspectusTranscytosis, traditionally regarded as biological, constitutes an intrinsic and powerful ...

SMC4/SMAD3/NF-κB axis drives cervical cancer progression and radioresistance via DNA damage repair and immune modulation.

OBJECTIVE: Cervical cancer remains a significant global health burden, with the molecular determinan...

Disentangling Near-Road Emission Inequities in Hong Kong through Data-Driven Spatiotemporal Traffic Dynamics.

Traffic emissions contribute disproportionately to exposure inequities in dense cities. Delivery fle...

Epitranscriptomic signatures of malignancy: how RNA modifications shape breast and ovarian tumor progression.

Breast and ovarian cancers are still one of the most prevalent causes of cancer death among the wome...

Race/ethnicity, disability, and antenatal depression in the United States: population-level insights from machine learning.

OBJECTIVE: Women with intersecting identities, such as being both Black and disabled, face heightene...

Precise oxygen therapy to emphysema patients by fuzzy-based gain tuning control of set-point regulated MRAC.

Emphysema, a primary component of chronic obstructive pulmonary disease (COPD), causes progressive d...

6PPD-quinone promotes ovarian cancer progression: Insights from network toxicology, machine learning, and in vitro validation.

6PPD-quinone (6PPD-Q), a toxic tire-derived antioxidant transformation product, is a pervasive envir...

Treatment of pulmonary fibrosis: From disease mechanisms to future novel therapies (Review).

Pulmonary fibrosis (PF) is a progressive and fatal interstitial lung disease characterized by irreve...

Prediction of surgery type for uterine fibroids using machine learning algorithms and hormone values.

This study aimed to develop and externally validate machine learning (ML)-based models to characteri...

Radiomics-based ultrasOund Model for differentiating Uterine Sarcomas from leiomyomas (ROMUS): a retrospective pilot Multicenter Italian Trials in Ovarian Cancer (MITO) study.

OBJECTIVE: To develop machine-learning models that incorporate clinical information and radiomics fe...

Integrated weighted gene co-expression network analysis and machine learning analysis identifies SEC14L5 as a potential biomarker for polycystic ovary syndrome.

BACKGROUND AND AIMS: To identify novel biomarkers and therapeutic targets for polycystic ovary syndr...

Imidazolium Lipid-based Nanoparticles Enable Effective mRNA Delivery and Cellular Immune Response.

Imidazolium LipidBrick® cationic lipid nanoparticles (LNPs) provide a pH-independent alternative to ...

From Antigen to Atlas: A Multi-omics, Single-Cell Pipeline for Discovering Safe and Effective CAR Targets in Ovarian Cancer.

Chimeric antigen receptor (CAR) T-cell therapy has achieved remarkable success in hematologic malign...

Image segmentation of cervical grainy sandy patches lesions associated with female genital schistosomiasis using deep convolutional neural network with U-NET architecture.

Female genital schistosomiasis (FGS) is a neglected but highly prevalent disease in sub-Saharan Afri...

Multivariable AI-based analysis of immune-lifestyle patterns associated with recurrent pregnancy loss: an exploratory retrospective study.

Introduction Approximately 1-5% of pregnant women experience recurrent pregnancy loss (RPL). Early d...

Differentiation of Benign and Malignant Cervical Lymph Nodes Using a Multi-Modal Ultrasound-Based Machine Learning Model with SHAP Interpretability.

OBJECTIVES: To evaluate the diagnostic value of a machine learning (ML) model based on multi-modal u...

Corrigendum to 'Machine-learning survival models for predicting time to recurrence in epithelial ovarian cancer' [Gynecologic Oncology 204 (2026) 184-193].

Women's reproductive factors predict local brain aging profiles mapped using deep neural networks.

Deep neural networks (DNNs) trained on magnetic resonance images can estimate global brain age (GBA)...