GERD

A multimodal deep learning model for detecting endoscopic images of near-infrared fluorescence capsules.

Early screening for gastrointestinal (GI) diseases is critical for preventing cancer development. Wi...

The signed two-space proximity model for learning representations in protein-protein interaction networks.

MOTIVATION: Accurately predicting complex protein-protein interactions (PPIs) is crucial for decodin...

Integrative PPI network and random forest analysis identifies KIF4A, TOP2A, and ASPM protein macromolecules as novel protein biomarkers in renal carcinoma pathogenesis.

The pathogenesis of kidney cancer is not fully understood, so there is an urgent need to identify ne...

Alpha test 1 robotic platform for traditional Chinese medicine pretreatment: Automated modular integration and quality control applications.

Sample pretreatment plays an important role in analytical performance, but it is often the rate-limi...

Automated Deep Learning Phenotyping of Tricuspid Regurgitation in Echocardiography.

IMPORTANCE: Accurate assessment of tricuspid regurgitation (TR) is necessary for identification and ...

Use of computer-assisted detection (CADe) colonoscopy in colorectal cancer screening and surveillance: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement.

This statement conveys the European Society of Gastrointestinal Endoscopy (ESGE) position on the use...

Differentiability of voice disorders through explainable AI.

The voice can be affected by various types of pathology. The phoniatric medical examination is the a...

Application of deep learning models in the pathological classification and staging of esophageal cancer: A focus on Wave-Vision Transformer.

BACKGROUND: Esophageal cancer is the sixth most common cancer worldwide, with a high mortality rate....

Advances in gastrointestinal endoscopy: A comprehensive review of innovations in cancer diagnosis and management.

The field of gastroenterology has experienced revolutionary advances over the past years, as flexibl...

Investigating the Genetic Links Between Immune Cell Profiles and Bladder Cancer: A Multidisciplinary Bioinformatics Approach.

: Bladder cancer (BC) is a common malignancy in the urinary system, with an increasing incidence rat...

A multi-objective evolutionary algorithm for detecting protein complexes in PPI networks using gene ontology.

Detecting protein complexes is crucial in computational biology for understanding cellular mechanism...

Transcriptomic Profiling of Hypoxia-Adaptive Responses in Tibetan Goat Fibroblasts.

The Tibetan goat () exhibits remarkable adaptations to high-altitude hypoxia, yet the molecular mech...

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...

Risk factors and predictive models for post-operative moderate-to-severe mitral regurgitation following transcatheter aortic valve replacement: a machine learning approach.

BACKGROUND: Post-operative moderate-to-severe mitral regurgitation (MR) following transcatheter aort...

Exploring the potential biomarkers and potential causality of Ménière disease based on bioinformatics and machine learning.

Meniere disease (MD) is a common inner ear disorder closely related to immune abnormalities, but res...

Molecular Association Assay Systems for Imaging Protein-Protein Interactions in Mammalian Cells.

Molecular imaging probes play a pivotal role in assaying molecular events in various physiological s...

Artificial intelligence system improves the quality of digestive endoscopy: A prospective pretest and post-test single-center clinical trial.

BACKGROUND: With the assistance of ENDOANGEL, a study was conducted at Hainan General Hospital to ev...

Parental education in pediatric dysphagia: A comparative analysis of three large language models.

OBJECTIVES: This study evaluates the effectiveness of three widely used large language models (LLMs)...

Be precise, be reproducible! The emerging role of artificial intelligence in inflammatory bowel disease endoscopy.

Topology-driven negative sampling enhances generalizability in protein-protein interaction prediction.

MOTIVATION: Unraveling the human interactome to uncover disease-specific patterns and discover drug ...

Current Technological Advances in Dysphagia Screening: Systematic Scoping Review.

BACKGROUND: Dysphagia affects more than half of older adults with dementia and is associated with a ...