Gastroenterology

Peptic Ulcer Disease

Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.

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Predicting pathogenic genes for primary myelofibrosis based on a system‑network approach.

The aim of the present study was to predict pathogenic genes for primary myelofibrosis (PMF) using a...

PICKLE 2.0: A human protein-protein interaction meta-database employing data integration via genetic information ontology.

It has been acknowledged that source databases recording experimentally supported human protein-prot...

Revealing protein functions based on relationships of interacting proteins and GO terms.

BACKGROUND: In recent years, numerous computational methods predicted protein function based on the ...

A support vector machine classifier for the prediction of osteosarcoma metastasis with high accuracy.

In this study, gene expression profiles of osteosarcoma (OS) were analyzed to identify critical gene...

Near-patient coagulation testing to predict bleeding after cardiac surgery: a cohort study.

BACKGROUND: Coagulopathic bleeding is common after cardiac surgery and is associated with increased ...

Small-Molecule Inhibitors of the NusB-NusE Protein-Protein Interaction with Antibiotic Activity.

The NusB-NusE protein-protein interaction (PPI) is critical to the formation of stable antiterminati...

Predictors of short-term and long-term incontinence after robot-assisted radical prostatectomy.

Purpose To determine retrospectively the prognostic factors for urinary incontinence following robot...

Development of a UPLC-MS/MS method for determination of pimavanserin tartrate in rat plasma: Application to a pharmacokinetic study.

A simple, rapid and sensitive method based on an ultra-performance liquid chromatography-tandem mass...

Pathophysiology of clinical benign prostatic hyperplasia.

A disease can be defined as an abnormal anatomy (pathology) and/or function (physiology) that may ca...

Omics Data Complementarity Underlines Functional Cross-Communication in Yeast.

Mapping the complete functional layout of a cell and understanding the cross-talk between different ...

Prediction of marker genes associated with hypertension by bioinformatics analyses.

This study aimed to explore the underlying marker genes associated with hypertension by bioinformati...

Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method.

BACKGROUND: Celiac disease is one of the most common diseases in the world. Capsule endoscopy is an ...

Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy.

BACKGROUND AND PURPOSE: This study evaluated the use of an artificial intelligence platform on mobil...

Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome.

Finding new uses for existing drugs has become a new strategy for decades to treat more patients. Fe...

InterPred: A pipeline to identify and model protein-protein interactions.

Protein-protein interactions (PPI) are crucial for protein function. There exist many techniques to ...

Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier.

Computational methods are employed in bioinformatics to predict protein-protein interactions (PPIs)....

Leveraging electronic health records for predictive modeling of post-surgical complications.

Hospital-specific electronic health record systems are used to inform clinical practice about best p...

Computational methods using genome-wide association studies to predict radiotherapy complications and to identify correlative molecular processes.

The biological cause of clinically observed variability of normal tissue damage following radiothera...

Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion.

In blood transfusion studies, plasma transfusion (PPT) and bleeding are known to be associated with ...

Performance analysis of a machine learning flagging system used to identify a group of individuals at a high risk for colorectal cancer.

Individuals with colorectal cancer (CRC) have a tendency to intestinal bleeding which may result in ...

Design, preparation and characterization of pH-responsive prodrug micelles with hydrolyzable anhydride linkages for controlled drug delivery.

We report a new prodrug micelle-based approach in which a model hydrophobic non-steroidal anti-infla...

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