Obstetrics & Gynecology

Comparison of externally validated interpretable machine-learning model with the United States Preventive Services Task Force approach to pre-eclampsia risk assessment.

Advances in viral vector-based delivery systems for gene therapy: a comprehensive review.

Gene therapy offers a revolutionary approach for treating genetic and acquired disorders by delivering therapeutic genes to target cells. Viral vectors, engineered for efficient gene delivery, have become indispensable due to their high transduction efficiency, enhanced targeting specificity, and minimized immunogenicity. This review explores recent advancements in viral vector platforms, focusing...

Computer-aided drug discovery of a dual-target inhibitor for ovarian cancer: therapeutic intervention targeting CDK1/TTK signaling pathway and structural insights in the NCI-60.

Ovarian cancer remains the third most prevalent and deadliest gynecologic malignancy worldwide, with most patients eventually developing resistance to...

Prenatal exposure to criteria air pollution and traffic-related air toxics and risk of autism spectrum disorder: A population-based cohort study of California births (1990-2018).

BACKGROUND: Autism spectrum disorder (ASD) prevalence has risen steadily in California (CA) over several decades, with environmental factors like air ...

AI-driven simplification of surgical reports in gynecologic oncology: A potential tool for patient education.

INTRODUCTION: The emergence of large language models heralds a new chapter in natural language processing, with immense potential for improving medica...

SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images.

Quality control (QC) of structures segmentation in volumetric medical images is important for identifying segmentation errors in clinical practice and...

Extracellular vesicles as nature's nano carriers in cancer therapy: Insights toward preclinical studies and clinical applications.

Extracellular vesicles (EVs), which are secreted by various cell types, hold significant potential for cancer therapy. However, there are several chal...

Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound

Congenital uterine anomalies (CUAs) can lead to infertility, miscarriage, preterm birth, and an increased risk of pregnancy complications. Compared ...

Devising a solution to the problems of Cancer awareness in Telangana

According to the data, the percent of women who underwent screening for cervical cancer, breast and oral cancer in Telangana in the year 2020 was 3....

Advanced cervical cancer classification: enhancing pap smear images with hybrid PMD Filter-CLAHE

Cervical cancer remains a significant health problem, especially in developing countries. Early detection is critical for effective treatment. Convo...

Quantitative and qualitative metrics of tumor stroma in predicting ovarian cancer outcomes and expansion of its study with AI-based tools.

Epithelial ovarian cancer remains one of the deadliest gynecologic malignancies, with late-stage diagnosis, high recurrence rates, and resistance to p...

Imaging-Based AI for Predicting Lymphovascular Space Invasion in Cervical Cancer: Systematic Review and Meta-Analysis.

BACKGROUND: The role of artificial intelligence (AI) in enhancing the accuracy of lymphovascular space invasion (LVSI) detection in cervical cancer re...

Nanotechnology-Enhanced siRNA Delivery: Revolutionizing Cancer Therapy.

RNA interference (RNAi) has emerged as a transformative approach for cancer therapy, enabling precise gene silencing through small interfering RNA (si...

Automated Treatment Planning for Interstitial HDR Brachytherapy for Locally Advanced Cervical Cancer using Deep Reinforcement Learning

High-dose-rate (HDR) brachytherapy plays a critical role in the treatment of locally advanced cervical cancer but remains highly dependent on manual...

Machine learning-guided fabrication of carbon dot-pepsin nano-conjugates for enhanced bioimaging, synergistic drug delivery, and visible light-induced photosensitization.

Carbon dots (CDs) are emerging as next-generation bioimaging agents due to their strong fluorescence, photobleaching resistance, and biocompatibility....

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data

Dental provider classification plays a crucial role in optimizing healthcare resource allocation and policy planning. Effective categorization of pr...

VLCD: Vision-Language Contrastive Distillation for Accurate and Efficient Automatic Placenta Analysis

Pathological examination of the placenta is an effective method for detecting and mitigating health risks associated with childbirth. Recent advance...

A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning

Purpose: Accurate segmentation of clinical target volumes (CTV) and organs-at-risk is crucial for optimizing gynecologic brachytherapy (GYN-BT) trea...

Upregulation of immune genes in the proliferative phase endometrium enables classification into women with recurrent pregnancy loss versus controls.

STUDY QUESTION: Does the transcriptome of preconceptional endometrium in the proliferative phase show a specific profile in women with recurrent pregn...

Artificial Intelligence (AI) and The Journal of Pediatric and Adolescent Gynecology (JPAG).