Obstetrics & Gynecology

Prognostic Utility of Systemic Immune-Inflammation Markers in Locally Advanced Cervical Cancer Undergoing Radical Radiotherapy.

PURPOSE: To improve survival prediction in locally advanced cervical cancer (LACC) post-radiotherapy, we developed and compared a nomogram and machine learning (ML) models using immune-inflammatory markers. MATERIAL AND METHODS: Clinical data from patients with LACC who received radical radiotherapy at our department between 2016 and 2019 were retrospectively analyzed. Key variables were selected ...

Technology in Diabetes: A Year in Review.

The past year has continued the rapid evolution of diabetes technology across the monitoring, delivery, analytics, and patient-support domains. Improvements in continuous glucose monitoring (CGM) accuracy and wear-time options, widening use and regulatory expansion of automated insulin delivery (AID) systems, growth in connected insulin pens, maturation of digital therapeutics, and an influx of ar...

In vivo CAR-cell therapy: current challenges and emerging therapeutic advances.

In vivo chimeric antigen receptor (CAR) cell therapy is undergoing a transformative shift from conventional ex vivo manufacturing toward in situ cellu...

A Graph Attention Network-Based Multimodal Auxiliary Intelligent Grading Model for Uterine Prolapse Severity.

INTRODUCTION AND HYPOTHESIS: Uterine prolapse affects women's quality of life. Traditional diagnosis relies on subjective experience with limited accu...

Integrated multi-omics and machine learning highlight PTM-related genes as potential biomarkers in endometrial cancer.

BACKGROUND: Endometrial cancer, the most common gynecological malignancy, represents about 5 % of all cancers in women, with rising incidence rates. E...

Predictive models for the occurrence and lymph node metastasis of papillary thyroid carcinoma with regional risk heterogeneity.

Papillary thyroid carcinoma (PTC) is the most common thyroid malignancy, and cervical lymph node metastasis significantly impacts patient prognosis. T...

Patch-to-slide fusion deep learning model for histological diagnosis of early pregnancy loss including hydatidiform mole.

Distinguishing histological subtypes of early pregnancy loss is crucial for clinical practice. Current gold standards combining pathological and molec...

Risk prediction model of survival in patients with low-grade serous ovarian cancer: a multicenter Cohort study.

PURPOSE: Accurate prognostic prediction remains a significant challenge in the management of low-grade serous ovarian cancer (LGSOC), a rare and molec...

SPACT: A clustering-driven multi-modal framework for survival prediction using genomic and histopathology data.

Multi-modal data-based algorithms have gained attention in their capabilities in prediction tasks in cancer-related research. This paper introduces SP...

Molecular modelling-driven formulation design for targeted pulmonary drug delivery.

Molecular modelling an impactful and trending approach for rational design of pulmonary drug delivery systems. In particular, in silico techniques can...

Unlocking non-model organisms with CRISPR-Cas: A roadmap for sustainable biotechnology.

The reliance on model organisms in biotechnology has advanced our understanding of fundamental biology but has failed to capture the complexity of rea...

Economic insecurity, access to menstrual materials, and sexual coercion: a qualitative study among adolescent schoolgirls in Ibadan, Nigeria.

Overcoming barriers to delivery of biologics by novel approaches and, advanced delivery systems.

Biologics is emerging as fastest growing field of drug development offering specificity and high therapeutic potential. However, their therapeutic eff...

Comparative performance analysis of AI-based large language models in assessing cervical vertebral maturation stages on lateral cephalometric radiographs.

Diagnostic Accuracy of Ultrasound Radiomics for Cervical Lymph-Node Metastasis in Papillary Thyroid Carcinoma: Evidence Predominantly From Chinese Cohorts.

Pre-operative identification of cervical lymph-node metastasis (LNM) guides surgical extent in papillary thyroid carcinoma (PTC) but remains imperfect...

The long and winding road: the resilience of cervical cytology as a long-standing laboratory tool to aid the diagnosis of HPV-induced lesions.

BACKGROUND: Despite molecular advancements, cervical cytology remains a resilient and fundamental laboratory tool in the prevention of cervical cancer...

Diagnostic performance of deep learning models on ultrasound images for distinguishing benign from malignant ovarian cysts.

BACKGROUND: Ovarian cysts are a common pelvic disorder in women, and accurate differentiation between benign and malignant types is essential for guid...

Preoperative differentiation of borderline and malignant ovarian tumors using interpretable machine learning.

Management of Cesarean Scar Pregnancy: A Decision-Support Prognostic Classification System Integrating Machine Learning and Linear Scoring Models.

Integrated machine learning algorithms for prediction of prognosis in ovarian cancer patients based on mitochondrial-related genes.

Mitochondrial dysfunction drives ovarian cancer (OC) progression. This study constructed a robust prognostic model (MITO-OC) based on mitochondria-rel...