Gastroenterology

GERD

Latest AI and machine learning research in gerd for healthcare professionals.

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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...

Artificial intelligence in the diagnosis and management of dysphagia: a scoping review.

PURPOSE: This scoping review aimed to map and synthesize evidence on technological advancements usin...

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...

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. ...

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...

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...

Integrating bulk and single cell sequencing data to identify prognostic biomarkers and drug candidates in HBV associated hepatocellular carcinoma.

Hepatitis B virus (HBV) infection is a major driver of hepatocellular carcinoma (HCC), yet the mecha...

Shared pathogenic mechanisms linking obesity and idiopathic pulmonary fibrosis revealed by bioinformatics and in vivo validation.

Previous studies have suggested a potential correlation between obesity and idiopathic pulmonary fib...

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