GERD

BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics.

Precision medicine aims to provide personalized treatments based on individual patient profiles. One critical step towards precision medicine is leveraging knowledge derived from biomedical publications-a tremendous literature resource presenting the latest scientific discoveries on genes, mutations and diseases. Biomedical natural language processing (BioNLP) plays a vital role in supporting auto...

Polyethylene Glycol for Small Bowel Capsule Endoscopy.

Capsule endoscopy has been the first-line examination for small bowel diseases, yet its diagnostic yield is restricted by unsatisfactory bowel preparation. To evaluate the clinical effectiveness of different dosages of polyethylene glycol in patients undergoing capsule endoscopy, we performed a comprehensive meta-analysis of all randomized controlled trials involving polyethylene glycol in prepara...

Prognostic Implications of Magnetic Resonance-Derived Quantification in Asymptomatic Patients With Organic Mitral Regurgitation: Comparison With Doppler Echocardiography-Derived Integrative Approach.

BACKGROUND: Magnetic resonance imaging (MRI) is an accurate method for the quantitative assessment of organic mitral regurgitation (OMR). The aim of t...

An algorithm for the classification of mRNA patterns in eosinophilic esophagitis: Integration of machine learning.

BACKGROUND: Diagnostic evaluation of eosinophilic esophagitis (EoE) remains difficult, particularly the assessment of the patient's allergic status.

Elevation of serum pyruvate kinase M2 (PKM2) in IBD and its relationship to IBD indices.

OBJECTIVES: Endoscopy remains the gold standard to diagnose and evaluate inflammatory bowel disease (IBD) activity. Current biomarkers or their combin...

Identification of genes related to proliferative diabetic retinopathy through RWR algorithm based on protein-protein interaction network.

Proliferative diabetic retinopathy (PDR) is one of the most common complications of diabetes and can lead to blindness. Proteomic studies have provide...

Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification.

The present study aimed to identify the feature genes associated with smoking in lung adenocarcinoma (LAC) samples and explore the underlying mechanis...

Utilizing knowledge base of amino acids structural neighborhoods to predict protein-protein interaction sites.

BACKGROUND: Protein-protein interactions (PPI) play a key role in an investigation of various biochemical processes, and their identification is thus ...

Incorporating spatial dose metrics in machine learning-based normal tissue complication probability (NTCP) models of severe acute dysphagia resulting from head and neck radiotherapy.

Severe acute dysphagia commonly results from head and neck radiotherapy (RT). A model enabling prediction of severity of acute dysphagia for individua...

Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data.

Disease gene prediction is a challenging task that has a variety of applications such as early diagnosis and drug development. The existing machine le...

A hybrid classifier based on nonlinear-PCA and deep belief networks with applications in dysphagia diagnosis.

Traditional dysphagia prescreening diagnostic methods require doctors specialists to give patients a total score based on a water swallow test scale. ...

Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

With the growing use of minimally invasive surgical procedures, endoscopic video archives are growing at a rapid pace. Efficient access to relevant co...

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 system‑network approach by combining protein‑prot...

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-protein interactions (PPIs) exhibit limited overlap. T...

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 protein-protein interaction (PPI) network. These m...

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 genes associated with metastasis. Five gene expression...

Intelligent visual localization of wireless capsule endoscopes enhanced by color information.

Wireless capsule endoscopy (WCE) is performed with a miniature swallowable endoscope enabling the visualization of the whole gastrointestinal (GI) tra...

Nonparametric Online Learning Control for Soft Continuum Robot: An Enabling Technique for Effective Endoscopic Navigation.

Bioinspired robotic structures comprising soft actuation units have attracted increasing research interest. Taking advantage of its inherent complianc...

Difficulties in thickened water ingestion in healthy subjects.

BACKGROUND: For some patients with dysphagia who have airway aspiration, it is not possible to drink water as a thin liquid, as they need their water ...

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 antitermination complexes required for stable RNA transcription...