Obstetrics & Gynecology

Association of inflammatory biomarkers during pregnancy and the postpartum period with the risk of postpartum anxiety symptoms.

BACKGROUND: Inflammation is pivotal in psychiatric pathophysiology, yet evidence linking inflammatory biomarkers to postpartum anxiety (PPA) remains lacking. METHODS: We included 14,419 eligible postpartum women and calculated composite inflammatory biomarkers during second and third trimesters and the postpartum period, including platelet-neutrophil product (PPN), systemic inflammatory response i...

Artificial intelligence-enabled personalisation of oral drug delivery: From data-driven design to on-demand manufacturing.

Artificial intelligence (AI) is reshaping pharmaceutical research by enabling data-intensive tasks to be performed with unprecedented speed and accuracy. While oral delivery remains the most common route of administration, it is dominated by a "one-size-fits-all" paradigm that fails to accommodate inter-individual variability, often leading to suboptimal efficacy or adverse reactions. AI offers a ...

Homologous recombination deficiency in Ovarian cancer: The game-changer for first-line maintenance therapy.

Homologous recombination deficiency (HRD) plays a central role in the pathogenesis and therapeutic vulnerability of epithelial ovarian cancer (EOC), p...

PETWB-REP: A Multi-Cancer Whole-Body FDG PET/CT Dataset with Corresponding Radiology Reports.

Publicly available, large-scale medical imaging datasets are crucial for developing and validating artificial intelligence (AI) models and conducting ...

Deep learning based gestational age estimation from multi-view fetal brain magnetic resonance imaging.

BACKGROUND: Gestational age (GA) is essential for assessing fetal development, but conventional methods such as last menstrual period and ultrasound a...

Artificial intelligence for diagnosis and triage in oral cancer: a clinician‑centered narrative review.

BACKGROUND: Early diagnosis of oral squamous cell carcinoma (OSCC) remains challenging, with survival largely stage-dependent at presentation. Artific...

A Semi-Automated Deep Learning Model for Diagnosing Placenta Accreta Spectrum (COMPAS): Comparison with Radiologists' Interpretations.

Multimodal MRI radiomics for predicting HIFU ablation efficacy in uterine fibroids: a machine learning study.

OBJECTIVE: To explore the predictive value of machine learning-based multimodal MRI radiomics combined with clinical features in the efficacy of high-...

Microfluidic electroporation for drug and gene delivery: Driving innovation from single-cell precision to high-throughput preclinical and therapeutic platforms.

Intracellular delivery of therapeutic biomolecules represents a fundamental prerequisite for cell-based therapies and precision medicine, yet existing...

Artificial intelligence-assisted spatial omics-based biomimetic nanoplatform for intelligent and precise intervention in the immunosuppressive core region of ovarian cancer.

Ovarian cancer (OC) ranks among the most aggressive malignancies of the female reproductive system. The immunosuppressive tumor microenvironment (TME)...

Artificial intelligence applications in gynecological cancer detection.

The Development and External Testing of Deep Learning Model for Automated Classification of Intervertebral Disc Degeneration on CT Images.

The study aims to develop and externally test a deep learning (DL) model using CT images for automatic classification of intervertebral disc degenerat...

Integrative spatial profiling pipeline for determining TME architectures in archival clinical specimens using CmTSA superplex technology.

The tumor microenvironment (TME) comprises diverse cellular components that spatially interact to form distinct functional niches (FNs). Profiling the...

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 are expected to rise with the aging population. T...

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.

Artificial intelligence for detecting orthodontic root resorption: A systematic review and meta-analysis of diagnostic accuracy.

BACKGROUND: External root resorption (ERR) and external cervical resorption (ECR) are common orthodontic complications with prognostic impact. Early, ...

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

ConspectusTranscytosis, traditionally regarded as biological, constitutes an intrinsic and powerful pathway for macromolecule transport across endothe...

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 determinants of its progression and therapeutic resistance n...

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 fleets and public buses can intensify these burdens i...

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 women in all parts of the world, mostly occurring at a...