Peptic Ulcer Disease

MESM: integrating multi-source data for high-accuracy protein-protein interactions prediction through multimodal language models.

BACKGROUND: Protein-protein interactions (PPIs) play a critical role in essential biological process...

Effects of Mono- (2-ethylhexyl) phthalate and Phthalic Acid Monobenzyl Ester on endometriosis using network toxicology, machine learning and molecular docking techniques.

Phthalate metabolites Mono- (2-ethylhexyl) phthalate(MEHP) and Phthalic Acid Monobenzyl Ester (MBZP)...

An evaluation of rectum contours generated by artificial intelligence automatic contouring software using geometry, dosimetry and predicted toxicity.

Objective This study assesses rectum contours generated using a commercial deep learning auto-co...

Identifying ferroptosis-related genes in lung adenocarcinoma using random walk with restart in the PPI network.

Lung adenocarcinoma (LUAD), the most common non-small cell lung cancer subtype, often presents with ...

Bioinformatics analysis of Rho-signal transduction genes in postmenopausal osteoporosis and periodontitis.

Postmenopausal osteoporosis (PMOP) increases the risk of periodontitis (PD), yet the shared mechanis...

World Endoscopy Organization's Response to the World Health Organization's Global Initiative on Artificial Intelligence for Health.

In response to the World Health Organization's (WHO) Global Initiative on Artificial Intelligence (A...

Prediction of protein-protein interaction based on interaction-specific learning and hierarchical information.

BACKGROUND: Prediction of protein-protein interactions (PPIs) is fundamental for identifying drug ta...

Interpretable bioinformatics approaches for pheochromocytoma bioactivity and protein interaction analysis.

Pheochromocytoma (PCC) is a rare neuroendocrine tumor driven by complex molecular mechanisms, notabl...

Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding.

Acute gastrointestinal bleeding (AGIB) is a potentially lethal complication in cirrhosis. In this pr...

Biomarker panels for improved risk prediction and enhanced biological insights in patients with atrial fibrillation.

Atrial fibrillation (AF) increases the risk of adverse cardiovascular events, yet the underlying bio...

Exosomal Liquid Biopsy for the Early Detection of Gastric Cancer: The DESTINEX Multicenter Study.

IMPORTANCE: Gastric cancer (GC) is the third leading cause of cancer-related deaths worldwide, prima...

Magnetically guided gastric capsule endoscopy: a review and new developments.

Since 2001, capsule endoscopy has been the primary test used to diagnose small-intestinal diseases. ...

Reflections on artificial intelligence for submucosal vessel detection during third-space endoscopy.

Integrated transcriptomic and proteomic analysis identifies FBXW7 as a key regulator of tau homeostasis in Alzheimer's disease.

BackgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder driven by complex, in...

Interpretable graph Kolmogorov-Arnold networks for multi-cancer classification and biomarker identification using multi-omics data.

The integration of heterogeneous multi-omics datasets at a systems level remains a central challenge...

Can a Rule-Based Expert System Diagnose Nasal Obstruction from Nasoendoscopy Videos?

Nasal obstruction has multiple causes requiring specialist endoscopy for diagnosis. A rule-based exp...

A review on computer-aided diagnostic system to classify the disorders of the gastrointestinal tract.

Various diseases, such as colon cancer, gastric cancer, celiac, and bleeding, pose a significant ris...

Preoperative MRI-based radiomics analysis of intra- and peritumoral regions for predicting CD3 expression in early cervical cancer.

The study investigates the correlation between CD3 T-cell expression levels and cervical cancer (CC)...

Enhanced gastrointestinal disease classification using a convvit hybrid model on endoscopic images.

Endoscopy is a procedure that allows examination of the gastrointestinal system, including the stoma...

Deep learning using nasal endoscopy and T2-weighted MRI for prediction of sinonasal inverted papilloma-associated squamous cell carcinoma: an exploratory study.

BACKGROUND: Detecting malignant transformation of sinonasal inverted papilloma (SIP) into squamous c...

Exploration of common pathogenic genes between cerebral amyloid angiopathy and insomnia based on bioinformatics and experimental validation.

Cerebral amyloid angiopathy (CAA) and insomnia are age-related neurological disorders increasingly r...