Obstetrics & Gynecology

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 ...

Autonomous Robotic Pruning in Orchards and Vineyards: a Review

Manual pruning is labor intensive and represents up to 25% of annual labor costs in fruit producti...

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...

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

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...

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...

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...

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...

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...

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...

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

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

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...

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...

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 ...

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 ...

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...

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

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

Multi-dimensional characterization of cellular states reveals clinically relevant immunological subtypes and therapeutic vulnerabilities in ovarian cancer.

BACKGROUND: Diverse cell types and cellular states in the tumor microenvironment (TME) are drivers o...

Artificial intelligence applied to ultrasound diagnosis of pelvic gynecological tumors: a systematic review and meta-analysis.

OBJECTIVE: To perform a systematic review on artificial intelligence (AI) studies focused on identif...

The Economic, Political, and Societal Consequences of Disrupting Health Care Delivery with Artificial Intelligence.

Artificial intelligence (AI) is poised to become a significant disruptive force in healthcare delive...

The Role of Artificial Intelligence and Digital Solutions in Transforming Educational and Employment Access for Individuals With Disabilities.

While education is essential for employability, people with disabilities often face barriers such as...