Obstetrics & Gynecology

Novel marker genes and small molecule drugs for radiotherapy resistance in cervical cancer identified based on single-cell multi-omics analysis.

Radiotherapy is the cornerstone of treatment for cervical cancer, yet the variability of patient res...

DeTox: an Alternative to Animal Testing for Predicting Developmental Toxicity Potential.

BACKGROUND: Medication use among pregnant women is common, yet the safety of these medications for t...

Artificial Intelligence in Dermatology: A Comprehensive Review of Approved Applications, Clinical Implementation, and Future Directions.

This comprehensive review examines artificial intelligence (AI) applications in dermatology, approve...

Study on the relationship between vaginal dose and radiation-induced vaginal injury following cervical cancer radiotherapy, and model development.

OBJECTIVE: This study investigates the relationship between vaginal radiation dose and radiation-ind...

Interleukin-6 Is a Crucial Factor in Shaping the Inflammatory Tumor Microenvironment in Ovarian Cancer and Determining Its Hot or Cold Nature with Diagnostic and Prognostic Utilities.

Ovarian cancer (OC) remains the leading cause of cancer-related deaths among women, often diagnosed ...

Exploring potential methylation markers for ovarian cancer from cervical scraping samples.

BACKGROUND: Ovarian cancer has the highest mortality rate among gynecological cancers, making early ...

Prediction of cervical spondylotic myelopathy from a plain radiograph using deep learning with convolutional neural networks.

PURPOSE: This study aimed to develop deep learning algorithms (DLAs) utilising convolutional neural ...

Improved Prediction Accuracy for Late-Onset Preeclampsia Using cfRNA Profiles: A Comparative Study of Marker Selection Strategies.

: Late-onset pre-eclampsia (LO-PE) remains difficult to predict because placental angiogenic markers...

Artificial intelligence-assisted CT radiomics: redefining preoperative prediction of lateral cervical lymph node metastasis in papillary thyroid carcinoma.

Circadian rhythm disruption by PARP inhibitors correlates with treatment toxicity in patients with ovarian cancer and is a predictor of side effects.

BACKGROUND: Ovarian cancer is among the most lethal malignancies in women. The advent of PARP inhibi...

Automated high precision PCOS detection through a segment anything model on super resolution ultrasound ovary images.

PCOS (Poly-Cystic Ovary Syndrome) is a multifaceted disorder that often affects the ovarian morpholo...

Standardized algorithm for cesarean scar pregnancy management: single-center outcomes.

OBJECTIVE: To evaluate the clinical utility of a standardized algorithm in the management of cesarea...

Investigation of serum neuroserpin levels in pregnant women diagnosed with pre-eclampsia: a prospective case-control study.

OBJECTIVE: Neuroserpin, a serine protease inhibitor, is recognized for its anti-inflammatory and neu...

Integrity of polymeric micelles regulates bioavailability of cyclosporine A: A FRET-based analysis during oral delivery.

This study comprehensively investigated the effect of structural integrity on the oral delivery effi...

In utero heat stress compromises whole-body growth and mammary development from postweaning through puberty.

Late-gestation in utero heat stress derails organ development and growth, leading to reduced first-l...

Milk residue concentrations of ivermectin following pour-on administration to pregnant Holstein cows during different dry periods.

This study aimed to compare ivermectin residue concentrations in milk following pour-on administrati...

[The study of implementation of digital technologies on sphere of labor protection and its impact on personnel of enterprises of marine industry].

The innovative technologies are becoming widespread in all spheres of human life, including labor pr...

Umbilical cord-derived mesenchymal stem cells secretomes promote embryo development and implantation.

AIMS: Successful implantation relies on high-quality blastocysts, uterine receptivity, and effective...

Evaluation of endometrial vascular flow index and echogenicity following experimental induction of subclinical endometritis in dairy cows.

This study was conducted aiming to investigate impacts of experimentally induced endometritis on the...

Enhancing Obstetric Decision-Making With AI: A Systematic Review of AI Models for Predicting Mode of Delivery.

Accurate prediction of the mode of delivery is critical for optimizing maternal and neonatal outcome...

Opinions and preferences regarding artificial intelligence use in healthcare delivery: results from a national multi-site survey of breast imaging patients.

OBJECTIVE: Artificial intelligence (AI) utilization is growing, but patient perceptions of AI are un...