Gastroenterology

Lipid nanoparticle-delivered ornithine transcarbamylase mRNA alleviates liver fibrosis in preclinical models.

BACKGROUND AND AIMS: Liver fibrosis poses a major health threat globally, with an acute shortage of ...

Integrating body composition analysis and machine learning for non-invasive identification of metabolic dysfunction-associated fatty liver disease: a large-scale health examination-based study.

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a highly prevalent liver condition c...

Integrated multi-dataset screening to predict prognosis and identify immunotherapy gene targets in hepatocellular carcinoma patients.

This study systematically predicts prognosis and key gene targets for immunotherapy in hepatocellula...

Predicting health-related quality of life for patients with gastroesophageal cancer.

BACKGROUND: Gastroesophageal cancer has a poor prognosis, and treatment significantly impacts health...

Automatic processing of gastrointestinal endoscopy referrals and patient instructions using large language models.

Artificial intelligence-assisted real-time nasopharyngeal cancer diagnostic model enhances rhinologist performance: a prospective multi-reader study.

BACKGROUND: Nasopharyngeal carcinoma (NPC) poses significant diagnostic challenges due to the anatom...

Drug repositioning for human MKN45 gastric cancer mouse model using deep learning AI and experimental validation.

BACKGROUND: Gastric cancer (GC) requires novel therapies. This study employed artificial neural netw...

IR Spectroscopy and Linear Support Vector Machine Analysis of Colorectal Liver Metastasis.

The Colorectal Liver Metastasis (CLM) library contains 756,096 full range Fourier transform infrared...

Comparison of balloon-occluded esophageal varices obliteration and endoscopic variceal ligation for high-risk esophageal varices of various diameters: a prospective randomized controlled trial.

BACKGROUND AND AIMS: Endoscopic variceal ligation (EVL) is associated with relatively high rebleedin...

Identification and validation of NETs-related biomarkers in hepatocellular carcinoma through bioinformatics analysis and machine learning algorithms.

BACKGROUND: Emerging evidence highlights the significant role of Neutrophil Extracellular Traps (NET...

Interpretable machine learning reveals phosphorus-to-albumin ratio as a novel predictor of mortality and acute kidney injury in critically ill pancreatitis patients: a multi-center retrospective analysis.

Acute kidney injury (AKI), a common and severe complication of acute pancreatitis (AP), is amenable ...

Polyethylene Terephthalate Microplastics Exposure Enhances the Risk of Ulcerative Colitis: Insights From Multi-Omics Integration, Machine Learning, and Molecular Docking Reveal Intestinal Toxicity Mechanisms: A Commentary.

Decoding Protein-Membrane Binding Interfaces from Surface-Fingerprint-Based Geometric Deep Learning and Molecular Dynamics Simulations.

Predicting protein-membrane interactions is a formidable challenge due to the subtle physicochemical...

Construction of immune related genes predictive models of elderly rectal cancer patients based on machine learning.

Single cell RNA sequencing analysis and molecular biology experiments identify NAFLD-related fibroblasts and highlights seven hub genes in NAFLD.

BACKGROUND: The Nonalcoholic fatty liver disease (NAFLD) is a major chronic liver condition, with it...

Real-world Study of Three-gas Breath Testing Nationwide and the Association With Symptoms.

GOALS AND BACKGROUND: Hydrogen (H 2 ) breath testing (BT) is used to diagnose small intestinal bacte...

Machine Learning-based Prediction of Mortality Among Malnourished Patients Hospitalized With Inflammatory Bowel Disease.

BACKGROUND: Malnourished patients hospitalized with inflammatory bowel disease (IBD) have a high ris...

Knowledge-Augmented Patient Network Embedding-Based Dynamic Model Selection for Predictive Analysis of Pediatric Drug-Induced Liver Injury.

OBJECTIVE: To address the challenges of developing machine learning frameworks for Electronic Health...

GI-ScreenNet v2: A Modular Framework for Gastrointestinal Disease Detection Based on an Integrated Transfer Learning.

BACKGROUND: Gastrointestinal diseases pose a significant global health challenge, and their early sc...

Genetic Information Enhances a Novel Non-Invasive Steatosis Index and Outperforms Existing Steatosis Indices.

BACKGROUND AND AIMS: Early detection of individuals with metabolic dysfunction-associated steatotic ...

AI-driven ANN and RSM-CCD integrated optimization of cinnarizine-domperidone bilayer tablet: In-vitro evaluation and in-silico PBPK modeling using GastroPlus®.

BACKGROUND: Response surface methodology coupled with the design of experiments identifies the optim...