Obstetrics & Gynecology

Deep learning based on ultrasound images to predict platinum resistance in patients with epithelial ovarian cancer.

BACKGROUND: The study aimed at developing and validating a deep learning (DL) model based on the ult...

Machine learning in ovarian cancer: a bibliometric and visual analysis from 2004 to 2024.

OBJECTIVE: Ovarian cancer (OC) is a common malignant tumor in women, with poor prognosis and high mo...

Development of macrophage M2 relate signature for predicting prognosis and immunotherapy response in ovarian cancer.

BACKGROUND: Ovarian cancer ranks as the fifth most common cause of cancer-related deaths in women wo...

The utility of low-dose pre-operative CT of ovarian tumor with artificial intelligence iterative reconstruction for diagnosing peritoneal invasion, lymph node and hepatic metastasis.

PURPOSE: Diagnosis of peritoneal invasion, lymph node metastasis, and hepatic metastasis is crucial ...

Computer vision analysis of luteal color Doppler ultrasonography for early and automated pregnancy diagnosis in Bos taurus beef cows.

This study evaluated the suitability of applying supervised deep learning (DL) algorithms for early ...

Supervised machine learning for predicting drug release from acetalated dextran nanofibers.

Electrospun drug-loaded polymeric nanofibers can improve the efficacy of therapeutics for a variety ...

Systems-level Insights to Improve Prenatal Detection of Congenital Heart Disease: Emotional Intelligence Today, Artificial Intelligence Tomorrow.

Next-generation Approaches in Targeting Polycystic Ovarian Syndrome: Innovative Strategies.

Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder that affects millions of women worl...

Unraveling the molecular mechanisms of paclitaxel in high-grade serous ovarian cancer through network pharmacology.

High-grade serous ovarian cancer (HGSOC) is the most common and aggressive subtype of epithelial ova...

Construction of a novel CD8T cell-related index for predicting clinical outcomes and immune landscape in ovarian cancer by combined single-cell and RNA-sequencing analysis.

BACKGROUND: CD8T cells, also known as cytotoxic T lymphocytes, play a key role in the tumor immune m...

Pan-cancer predictive survival model development and evaluation using electronic health record and genetic data across 10 cancer types.

The growing burden of cancer and recent surge in healthcare data availability call for new ways of a...

High throughput recurrent pregnancy loss screening: urine metabolic fingerprints LDI-MS and machine learning.

Infertility is a significant challenge faced by many families worldwide, with recurrent pregnancy lo...

Random forest-based model for the recurrence prediction of borderline ovarian tumor: clinical development and validation.

PURPOSE: This study aims to develop an effective machine learning (ML)-based predictive model for th...

Role of Neck Pain in Defining Clinical Trajectories of Outcomes in Patients With Degenerative Cervical Myelopathy: Results of a Novel Machine Learning Algorithm.

Study DesignRetrospective analysis of prospective data.ObjectivesNeck pain represents a crucial fact...

Lipid nanoparticle (LNP) mediated mRNA delivery in neurodegenerative diseases.

Neurodegenerative diseases (NDD) are characterized by the progressive loss of neurons and the impair...

A novel scheme for non-invasive drug delivery with a magnetically controlled drug delivering capsule endoscope.

There is a lack of effective means for precise drug delivery of gastrointestinal diseases. Herein we...

Recent advances in multimodal approaches for investigating placental development and related diseases.

The placenta is a vital organ that supports fetal growth and pregnancy maintenance. Its dysfunction ...

Multi-Task Collaborative Assisted Training Method for Grouping Fuzzy Categories Classification of Cervical Cancer Cells.

Cervical cancer is a malignant tumor that endangers women's life and health. While deep learning has...

Binary classification of gynecological cancers based on ATR-FTIR spectroscopy and machine learning using urine samples.

Making an early diagnosis of cancer still in the early stages, when completely asymptomatic, is the ...

Emerging Trends in Microfluidic Biomaterials: From Functional Design to Applications.

The rapid development of microfluidics has driven innovations in material engineering, particularly ...

Revisiting the role of steroidal therapeutics in the 21st century: an update on FDA approved steroidal drugs (2000-2024).

Steroids are biologically active polycyclic compounds that have garnered significant scientific atte...