Obstetrics & Gynecology

Magnetic resonance imaging (MRI) of the myometrium - benign and malignant disease.

Myometrial lesions are a common indication for pelvic imaging, with accurate characterisation crucial for guiding management. While ultrasonography remains the first-line modality, magnetic resonance imaging (MRI) offers superior tissue contrast, multiplanar capability, and functional assessment, offering the highest accuracy for characterising uterine masses. This review highlights the pivotal ro...

Artificial Intelligence-based analysis of pre-eclampsia gene expression profiles for identification of novel potential pre-eclampsia diagnostic biomarkers.

Preeclampsia (PE) is a multifactorial and heterogeneous hypertensive disorder of pregnancy that poses significant diagnostic and therapeutic challenges. Identifying robust and generalizable biomarkers is critical for early detection and improved clinical outcomes. In this study, we present a machine learning-based framework for the analysis of gene expression profiles to uncover potential diagnost...

Environmental bisphenols hijack the Hmox1 and Cdh1 to trigger premature ovarian insufficiency: A multi-omics investigation.

BACKGROUND: Bisphenols A (BPA), bisphenols F (BPF), and bisphenols S (BPS) are environmental endocrine disruptors linked to premature ovarian insuffic...

Redefining Tumor Vascular Permeability through Deep Learning-Guided Microneedle Delivery.

Low-permeability (LP) tumor vasculature constitutes a major barrier to efficient nanomedicine delivery, making quantitative assessment and mechanistic...

Primary tumor-derived, multiparametric MRI-based deep learning-radiomics-clinical model for predicting lymph node metastasis in early-stage cervical cancer.

OBJECTIVES: To develop and validate a primary tumor-derived, multiparametric MRI-based deep learning-radiomics-clinical (DLRC) model for predicting pe...

Leveraging AI for Analysis of Digital Health Information on Cancer Prevention Among Arab Youth and Adults: Content Analysis.

BACKGROUND: As TikTok (ByteDance) grows as a major platform for health information, the quality and accuracy of Arabic-language cancer prevention cont...

Bio-Inspired Smart Elastin-Like Polypeptides (ELPs) for Precision Drug Delivery: Molecular Strategies, Thermal Responsiveness, and Translational Advances.

Elastin-like polypeptides (ELPs), inspired by the natural elasticity of human elastin, are rapidly evolving as next-generation platforms for precision...

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...

[Design and synthesis of molecularly imprinted polymers and their applications in medical diagnosis and biocatalysis].

Molecularly imprinted technology （MIT） represents an advanced synthetic strategy that emulates biological recognition mechanisms， such as antigen-anti...

Cervical myelopathy screening using in-shoe inertial measurement unit sensors and machine learning focusing on gait disturbance.

Prediction of skeletal maturity using machine learning based on multiple biological indicators.

INTRODUCTION: Accurate assessment of skeletal maturity is essential for orthodontic treatment planning and growth modulation. This study aimed to deve...

Nanoparticle approaches for hepatitis therapy and clinical translation.

BACKGROUND: Hepatitis B and C viruses (HBV and HCV) remain major global health challenges, contributing significantly to liver-related morbidity and m...

AI-FLEET: Phase I-Multimodal Deep Learning Model for Phyllodes Tumor Classification.

BACKGROUND: Fibroepithelial breast lesions, including fibroadenomas and phyllodes tumors (PTs), can be difficult to classify on needle biopsy. Misclas...

STAR (stroma-tumor AI risk) assessment: association of AI-derived tumor-stroma proportion with patient survival provides added prognostic value beyond KELIM in epithelial ovarian cancer.

BACKGROUND: There remains a critical need for prognostic biomarkers of treatment response in epithelial ovarian cancer (EOC). The KELIM score, derived...

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...

Concordant and Discordant Transcriptomic Signatures of Twin Placentas in the Setting of Preeclampsia.

BACKGROUND: Multifetal pregnancies have increased preeclampsia risk, but the underlying pathogenesis may differ from that of singletons. It remains un...

Conscience, Care, and Code: Moral Theology, AI, and Ethical Decision-Making at the Thresholds of Life.

Healthcare decisions at the beginning and end of life pose enduring moral challenges that are increasingly intensified by the integration of artificia...

Plasmonic artificial inspector for herbal medicines via surface-enhanced Raman spectroscopy and deep learning.

For the safety monitoring of herbal medicines (HMs), HM inspectors carry out an organoleptic examination before acceptance for market supply. The orga...

Automated diagnostic of cervical spondylosis on multimodal medical images with a multi-task deep learning model.

Cervical spondylosis is one of the most common degenerative diseases, seriously affecting life quality. Unlike diseases with explicit lesions like can...

AI-enhanced robotic hands: a breakthrough in early tumour detection and removal.

AI-enhanced robotic hands are rapidly reshaping tumour surgery by merging real-time sensing, precision mechanics, and intelligent decision support, ye...