Gastroenterology

Pancreatic Diseases

Latest AI and machine learning research in pancreatic diseases for healthcare professionals.

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In-syringe extraction using compressible and self-recoverable, amphiphilic graphene aerogel as sorbent for determination of phenols.

Graphene aerogels (GAs) have demonstrated great promise as sorbent materials. However, the intrinsic...

Multiple Human-Behaviour Indicators for Predicting Lung Cancer Mortality with Support Vector Machine.

Lung cancer is still one of the most common causes of death around the world, while there is overwhe...

Circulating betatrophin in relation to metabolic, inflammatory parameters, and oxidative stress in patients with type 2 diabetes mellitus.

AIMS: Recently, it was suggested that betatrophin has a role in controlling pancreatic β cell prolif...

A neural network based model effectively predicts enhancers from clinical ATAC-seq samples.

Enhancers are cis-acting sequences that regulate transcription rates of their target genes in a cell...

Identifying substance use risk based on deep neural networks and Instagram social media data.

Social media may provide new insight into our understanding of substance use and addiction. In this ...

Lf nanodispersion is a hypoglycemic product with a potent α-glucosidase and pancreatic lipase inhibitor effect.

PURPOSE: This study aimed to evaluate the hypoglycemic effect, antioxidant, α-glucosidase and lipase...

An Increased Level of Aryl Hydrocarbon Receptor in Patients with Pancreatic Cancer.

BACKGROUND Aryl-carbon receptor (AhR), a ligand-activated transcription factor, is best known for it...

Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis.

OBJECTIVE: The aim of this study is to predict the risk of severe acute pancreatitis (SAP) associate...

Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI.

PURPOSE: We sought to assess whether machine learning-based classification approaches can improve th...

Consumption of illegal home-made alcohol in Malawi: A neglected public health threat.

This study assessed the ethanol and methanol contents of homemade spirit (Kachasu) sold in Blantyre,...

Effect of daily intake of a low-alcohol orange beverage on cardiovascular risk factors in hypercholesterolemic humans.

Oxidative stress, inflammation status, endothelial dysfunction, and imbalanced lipid metabolism play...

Neural network-based model predictive control for type 1 diabetic rats on artificial pancreas system.

Artificial pancreas system (APS) is a viable option to treat diabetic patients. Researchers, however...

Incorporating Unannounced Meals and Exercise in Adaptive Learning of Personalized Models for Multivariable Artificial Pancreas Systems.

BACKGROUND: Despite the recent advancements in the modeling of glycemic dynamics for type 1 diabetes...

Selective Oxidation of Biomass-Derived Alcohols and Aromatic and Aliphatic Alcohols to Aldehydes with O/Air Using a RuO-Supported MnO Catalyst.

Selective catalytic oxidation of carbohydrate-derived 5-hydroxymethylfurfural, furfuryl alcohol, and...

Machine learning algorithm-based risk prediction model of coronary artery disease.

In view of high mortality associated with coronary artery disease (CAD), development of an early pre...

Proactive expert system intervention to prevent or quit at-risk alcohol use (PRINT): study protocol of a randomized controlled trial.

BACKGROUND: The population impact of alcohol screening and brief intervention might be increased by ...

Unsupervised, Statistically Based Systems Biology Approach for Unraveling the Genetics of Complex Traits: A Demonstration with Ethanol Metabolism.

BACKGROUND: A statistical pipeline was developed and used for determining candidate genes and candid...

Glucagonoma and Glucagonoma Syndrome: One Center's Experience of Six Cases.

Glucagonoma is an extremely rare neuroendocrine tumor arising from pancreatic islet cells. Although...

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