Gastroenterology

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

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Deep Learning-Enabled Rapid Metabolic Decoding of Small Extracellular Vesicles via Dual-Use Mass Spectroscopy Chip Array.

The increasing focus of small extracellular vesicles (sEVs) in liquid biopsy has created a significa...

Biosecurity measures reducing spp. and hepatitis E virus prevalence in pig farms-a systematic review and meta-analysis.

spp. and hepatitis E virus (HEV) are significant foodborne zoonotic pathogens that impact the healt...

Application of artificial intelligence in gastrointestinal endoscopy in Vietnam: a narrative review.

The utilization of artificial intelligence (AI) in gastrointestinal (GI) endoscopy has witnessed sig...

Machine learning analysis of CD4+ T cell gene expression in diverse diseases: insights from cancer, metabolic, respiratory, and digestive disorders.

CD4 T cells play a pivotal role in the immune system, particularly in adaptive immunity, by orchestr...

A clinical pilot trial of an artificial intelligence-driven smart phone application of bowel preparation for colonoscopy: a randomized clinical trial.

BACKGROUND: High-quality bowel preparation is paramount for a successful colonoscopy. This study aim...

Application of machine learning methods for predicting esophageal variceal bleeding in patients with cirrhosis.

OBJECTIVE: To develop and compare machine learning models based on CT morphology features, serum bio...

Generalized fractional optimization-based explainable lightweight CNN model for malaria disease classification.

Over the past few decades, machine learning and deep learning (DL) have incredibly influenced a broa...

AI model using CT-based imaging biomarkers to predict hepatocellular carcinoma in patients with chronic hepatitis B.

BACKGROUND & AIMS: Various hepatocellular carcinoma (HCC) prediction models have been proposed for p...

Machine learning based prediction model for bile leak following hepatectomy for liver cancer.

OBJECTIVE: We sought to develop a machine learning (ML) preoperative model to predict bile leak foll...

Integrating single-cell RNA-Seq and machine learning to dissect tryptophan metabolism in ulcerative colitis.

BACKGROUND: Ulcerative colitis (UC) is a persistent inflammatory bowels disease (IBD) characterized ...

Efficient analysis of drug interactions in liver injury: a retrospective study leveraging natural language processing and machine learning.

BACKGROUND: Liver injury from drug-drug interactions (DDIs), notably with anti-tuberculosis drugs su...

Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers.

One of the foremost causes of global healthcare burden is cancer of the gastrointestinal tract. The ...

Comparative transcriptomic and molecular biology analyses to explore potential immune responses to challenge in .

is a significant pathogen affecting shrimp and crab farming, particularly strains carrying genes as...

Pinpointing the integration of artificial intelligence in liver cancer immune microenvironment.

Liver cancer remains one of the most formidable challenges in modern medicine, characterized by its ...

Indole 3-acetate and response to therapy in borderline resectable or locally advanced pancreatic cancer.

BACKGROUND/AIMS: It was recently reported that a higher concentration of the bacterially produced me...

Combining solubilization and controlled release strategies to prepare pH-sensitive solid dispersion loaded with albendazole: and studies.

Albendazole (ABZ), classified as a class II basic drug under the Biopharmaceutics Classification Sys...

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