Obstetrics & Gynecology

Simultaneous analysis of miRNA and 16S rDNA by a multiplex droplet digital PCR system for body fluid source identification.

Forensic body fluid identification, crucial for crime scene reconstruction, is often limited by sample scarcity and degradation. Hence, there is growing interest in more stable biomarkers like miRNA and microbial markers. While each has its limitations, they effectively complement one another. Specifically, miRNA requires complex multi-marker panels to distinguish fluids like saliva and vaginal se...

Predicting the biological behavior of cervical squamous cell carcinoma: a machine learning approach using apparent transverse relaxation rate (R2* maps) radiomics nomogram.

Adapalene in Acne Treatment: Innovations in Nanocarriers and Role of AI in Drug Delivery- A Comprehensive Review.

INTRODUCTION: Acne vulgaris is a prevalent dermatological disorder that affects millions worldwide, causing both physical discomfort and psychological...

CRISPR-Cas9 and next-generation gene editing strategies for therapeutic intervention of neurodegenerative pathways in Alzheimer's disease: a state-of-the-art review.

Alzheimer's disease (AD) is a progressive and multifactorial neurodegenerative disorder and the leading cause of dementia worldwide, characterized by ...

Study on material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps.

To explore the material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps based on netwo...

Utilizing the transformer mechanism to predict cervical lymph node metastasis in patients with papillary thyroid carcinoma.

RATIONALE AND OBJECTIVE: The status of cervical lymph node metastasis(LNM) in Papillary thyroid carcinoma(PTC) can affect the patient's treatment plan...

Focused Ultrasound-activated Extracellular Vesicles-nanoparticle Hybrids for Targeted Brain Drug Delivery: Engineering Strategies and Translational Outlook.

A revolutionary method for targeted neurotherapeutics is focused ultrasound (FUS)-mediated blood-brain barrier (BBB) regulation. In order to enable co...

Artificial Intelligence-Guided Optimization of Hyaluronic Acid-Coated Liposomal Linagliptin for Targeted Management of Polycystic Ovary Syndrome.

Linagliptin, a DPP-4 inhibitor commonly used in the management of diabetes mellitus, has shown potential activity in polycystic ovary syndrome (PCOS)....

Polymer Drug Conjugate: A Revolution in Drug Delivery.

Polymer-drug conjugates (PDCs) represent a remarkable advancement in modern medicine, leveraging the physicochemical properties of polymers to enhance...

Machine learning-based DNA microarray analysis for disease detection using the MICRO-AI framework.

DNA microarray is a transformative technique in genomics, enabling simultaneous examination of thousands of gene expression levels. However, noise, hi...

A cell comparative multiple instance learning network guided by image quality assessment for cervical whole slide image classification.

Early screening is essential for reducing the incidence and mortality of cervical cancer, and artificial intelligence-based analysis of whole slide im...

Small but mighty: Peptides as next-generation immunotargeting agents in gynecological cancers.

The most common cancers in women, ovarian, cervical and endometrial, are still a significant cause of cancer-related illness and death around the worl...

CRISPR-Cas system: recent advancements in prompt diagnosis of high-risk HPV genotypes in cervical cancer.

INTRODUCTION: The CRISPR/Cas system has emerged as a highly versatile platform for diagnosing infectious diseases, particularly viral pathogens. Human...

[Contrast-enhanced CT-based habitat radiomics for analyzing the predictive capability for oral squamous cell carcinoma].

OBJECTIVES: By comparing deep learning and habitat analysis models based on contrast-enhanced CT (CECT), this study explores a novel approach to predi...

Large language models in artificial intelligence to answer patient questions in spine surgery: an evaluation of current evidence.

INTRODUCTION: Large language models (LLMs) are increasingly being explored in healthcare, particularly for enhancing patient education. In spine surge...

mRNA vaccines in cancer immunotherapy: current progress and perspectives in solid tumors and hematologic malignancies.

The unprecedented success of mRNA vaccines during the COVID-19 pandemic has accelerated the development of nucleic acid-based therapeutics, particular...

Factors Influencing Universal Coverage of AI-Assisted Cervical Cancer Screening: Qualitative Study Based on the Macro Model of Health System.

BACKGROUND: Improving screening coverage is a central goal of the global strategy to eliminate cervical cancer. In resource-constrained settings, insu...

Hot flashes linked to linguistic markers of cognitive impairment: observational study of social media posts.

OBJECTIVES: This study analyzes social media data from Reddit, using artificial intelligence and natural language processing, to explore cognitive cha...

Higher Diagnostic Accuracy of an AI Model for Colposcopy Compared With Conventional and Digital Colposcopic Evaluation.

OBJECTIVE: Colposcopy involves subjective visual assessment of cervical features that may indicate cervical dysplasia. Pattern recognition during colp...

Usefulness of Artificial Intelligence for Surgical Support in Robot-assisted Distal Pancreatectomy: A Preliminary Case Report.

BACKGROUND/AIM: The incidence of postoperative complications in minimally-invasive surgery for pancreatic disease remains a concern. The application o...