Obstetrics & Gynecology

AI-Guided Design of pH- and Redox-Responsive Lignin@GO@ZIF-8 Nanocarriers for Targeted Co-Delivery of 5-Fluorouracil and Metformin in Prostate Cancer Therapy.

Prostate cancer therapy is limited by systemic toxicity and inefficient tumor-selective delivery. He...

Exploration of the Application of Multimodal Feature Analysis Based on Random Forest Algorithm Combining Ultrasound Elastography and Contrast-Enhanced Ultrasound in the Diagnosis of Ovarian Tumors.

OBJECTIVE: This study aimed to build a multimodal ultrasound (color Doppler flow imaging/shear wave ...

Hematologic markers and machine learning in predicting placenta accreta: A case-control study.

OBJECTIVE: This study aims to enhance antenatal detection of placenta accreta spectrum (PAS) and pre...

Artificial intelligence in human-assisted reproduction: a paradigm shift still in search of clinical impact.

PURPOSE: Artificial intelligence in human-assisted reproduction has attracted intense interest and i...

Learning Roles With Emergent Social Value Orientations.

Social dilemmas can be considered situations where individual rationality leads to collective irrati...

Seeing Is Believing? Exploring Gender Bias in Artificial Intelligence Imagery of Specialty Doctors.

BACKGROUND: In medicine and medical education, women are disproportionately affected by gender bias....

Slice-prompted HR-CTV interactive segmentation for cervical cancer brachytherapy: A multi-center study.

BACKGROUND: In computed tomography (CT)-guided cervical cancer brachytherapy, the manual contouring ...

COL14A1 drives ischemic cardiac injury in PCOS: an artificial intelligence-identified biomarker.

BACKGROUND: Polycystic ovary syndrome (PCOS) and ischemic cardiomyopathy (ICM) share metabolic and c...

Metabolomic-driven prediction of the mutational status of healthy individuals with a family history of hereditary breast and ovarian cancer syndrome: the HRRmet study.

Pathogenic variants (PVs) identified in genes involved in the DNA homologous recombination repair (H...

State of the art in soft eversion robots for colonoscopy: a review.

This review explores the current state of eversion robotics in the context of colonoscopy, given the...

Integrated artificial intelligence and omics for prediction and monitoring of pre-eclampsia.

Pre-eclampsia is a difficult pregnancy condition that causes high blood pressure and can lead to hea...

Lipid monitoring using non-invasive measurement technologies and machine learning: a systematic review.

BACKGROUND: Cardiovascular diseases (CVD) are the leading cause of death among women, with risk incr...

Generic fitting models learn edge representations from prenatal retinal waves.

Orientation selectivity-the representation of oriented edges-is a hallmark of biological vision, sha...

AI-Driven nanofiber platforms for essential oil delivery in dry period cows: a sustainable strategy against mastitis and antimicrobial resistance.

The routine utilisation of prophylactic antibiotics in dairy cows during the dry period has been dem...

Renovating Neural Networks With Viral-Mediated Gene Transfer From A Tissue Contacting Matrix Mimic.

Neurodegenerative diseases such as Huntington's Disease (HD) have a significant impact on healthcare...

A systematic review of the scope and impact of rural primary healthcare innovations using digital health technology.

OBJECTIVES: Digital technology in primary healthcare service delivery can enhance accessibility, ser...

AI-enabled, QbD-aligned Predictive, and Sustainable Design of Natural Polymer-based Drug Delivery Systems.

Natural polymers such as chitosan, alginate, cellulose, gelatin, and silk fibroin have become centra...

HRD-Informed Digital Histology Model for Predicting Platinum Chemo-Response and Prognosis in High-Grade Serous Ovarian Cancer.

Homologous recombination deficiency (HRD) is a critical biomarker in high-grade serous ovarian cance...

Multimodal deep learning using preoperative CT and ultrasound for recurrence risk prediction in high-grade serous ovarian carcinoma.

Understanding drivers of neonatal mortality in Zimbabwe: A machine learning approach using survey data.

In Zimbabwe, the neonatal mortality rate (NMR) is higher than the regional average, and the country ...

Detecting optimal biomarkers in ovarian cancer cells from high-dimensional mRNA expression data using machine learning.

BACKGROUND AND OBJECTIVE: Reliable detection of robust biomarkers from high-dimensional transcriptom...