AIMC Topic: Helicobacter pylori
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Potential of automatic diagnosis system with linked color imaging for diagnosis of Helicobacter pylori infection.
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Oct 2, 2019
BACKGROUND AND AIM: It is necessary to establish universal methods for endoscopic diagnosis of Helicobacter pylori (HP) infection, such as computer-aided diagnosis. In the present study, we propose a multistage diagnosis algorithm for HP infection.
A Deep Learning Convolutional Neural Network Can Recognize Common Patterns of Injury in Gastric Pathology.
Archives of pathology & laboratory medicine
Jun 27, 2019
CONTEXT.—: Most deep learning (DL) studies have focused on neoplastic pathology, with the realm of inflammatory pathology remaining largely untouched.
Application of convolutional neural networks for evaluating Helicobacter pylori infection status on the basis of endoscopic images.
Scandinavian journal of gastroenterology
Mar 17, 2019
BACKGROUND AND AIM: We recently reported the role of artificial intelligence in the diagnosis of Helicobacter pylori (H. pylori) gastritis on the basis of endoscopic images. However, that study included only H. pylori-positive and -negative patients,...
Machine learning model to predict recurrent ulcer bleeding in patients with history of idiopathic gastroduodenal ulcer bleeding.
Alimentary pharmacology & therapeutics
Feb 13, 2019
BACKGROUND: Patients with a history of Helicobacter pylori-negative idiopathic bleeding ulcers have an increased risk of recurring ulcer complications.
Integration of virtual screening and susceptibility test to discover active-site subpocket-specific biogenic inhibitors of Helicobacter pylori shikimate dehydrogenase.
International microbiology : the official journal of the Spanish Society for Microbiology
Aug 24, 2018
Shikimate dehydrogenase (HpSDH) (EC 1.1.1.25) is a key enzyme in the shikimate pathway of Helicobacter pylori (H. pylori), which catalyzes the NADPH-dependent reversible reduction of 3-dehydroshikimate to shikimate. Targeting HpSDH has been recognize...
Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine.
IEEE journal of biomedical and health informatics
Jun 12, 2018
Predicting the protein-protein interactions (PPIs) has played an important role in many applications. Hence, a novel computational method for PPIs prediction is highly desirable. PPIs endow with protein amino acid mutation rate and two physicochemica...
Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition.
BMC systems biology
Dec 23, 2016
BACKGROUND: Protein-protein interactions (PPIs) are essential to most biological processes. Since bioscience has entered into the era of genome and proteome, there is a growing demand for the knowledge about PPI network. High-throughput biological te...
INHIBITORY ACTIVITY OF MANGIFERIN ON PYLORI-INDUCED INFLAMMATION IN HUMAN GASTRIC CARCINOMA AGS CELLS.
African journal of traditional, complementary, and alternative medicines : AJTCAM
Nov 23, 2016
BACKGROUND: Gastric cancer is a serious health issue caused by and claims more lives in developing and undeveloped countries. Hence, the need for a natural drug with several pharmacological activities with no adverse effect are highly recommended. T...
Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model.
Protein science : a publication of the Protein Society
Aug 9, 2016
Predicting protein-protein interactions (PPIs) is a challenging task and essential to construct the protein interaction networks, which is important for facilitating our understanding of the mechanisms of biological systems. Although a number of high...
ANTIMICROBIAL ACTIVITY OF (SPRENG.) LESS. (ASTERACEAE) METHANOL EXTRACTS AGAINST .
African journal of traditional, complementary, and alternative medicines : AJTCAM
Jul 3, 2016
BACKGROUND: Prolonged use of antibiotics may lead to the selection of drug-resistant bacteria; as a result, efforts are being made to identify new and effective antimicrobial agents, particularly, from medicinal plants, against bacterial infections. ...
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