AIMC Topic: Helicobacter pylori

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High Accuracy of Convolutional Neural Network for Evaluation of Helicobacter pylori Infection Based on Endoscopic Images: Preliminary Experience.

Clinical and translational gastroenterology Dec 1, 2019
OBJECTIVES: Application of artificial intelligence in gastrointestinal endoscopy is increasing. The aim of the study was to examine the accuracy of convolutional neural network (CNN) using endoscopic images for evaluating Helicobacter pylori (H. pylo...
Humans Retrospective Studies Endoscopy, Gastrointestinal Helicobacter Infections Image Processing, Computer-Assisted Biopsy Gastric Mucosa Breath Tests Carbon Isotopes Helicobacter pylori Gastroscopy Deep Learning Pilot Projects ROC Curve Decision Support Systems, Clinical Male Middle Aged Female Adult
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The influence of vitamin D deficiency on eradication rates of Helicobacter pylori.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University Dec 1, 2017
BACKGROUND: Helicobacter pylori eradication therapy improves the healing of various gastro-duodenal diseases such as chronic gastritis and peptic ulcer, and also reduces gastric cancer incidence. Several studies have reported on risk factors other th...
Male Middle Aged Bacterial Proteins Vitamin D Helicobacter Infections Helicobacter pylori Vitamin D Deficiency Humans Aged Antigens, Bacterial Female Adult
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An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features.

Molecular bioSystems Jul 25, 2017
Prediction of essential genes helps to identify a minimal set of genes that are absolutely required for the appropriate functioning and survival of a cell. The available machine learning techniques for essential gene prediction have inherent problems...
Codon Caulobacteraceae Helicobacter pylori Datasets as Topic Escherichia coli K12 Base Composition Genotype Genes, Essential Metabolic Networks and Pathways Benchmarking Machine Learning Phenotype
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Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier.

Oncotarget Apr 4, 2017
Identification of protein-protein interactions (PPIs) is of critical importance for deciphering the underlying mechanisms of almost all biological processes of cell and providing great insight into the study of human disease. Although much effort has...
Protein Interaction Mapping Humans Saccharomyces cerevisiae Proteins Algorithms Computational Biology Databases, Protein Helicobacter pylori Support Vector Machine Bacterial Proteins Reproducibility of Results Saccharomyces cerevisiae Protein Binding
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[A Case of Idiopathic Thrombocytopenic Purpura during Adjuvant Chemotherapy for Colon Cancer].

Gan to kagaku ryoho. Cancer & chemotherapy Nov 1, 2015
A 76-year-old man underwent surgery for sigmoid colon cancer. The pathological finding was stage Ⅱ with a high-risk of recurrence (SI [bladder], l y0, v2, pN0, H0, P0, M0). He was treated with TS-1 as adjuvant chemotherapy. After the 1 course of chem...
Silicates Purpura, Thrombocytopenic, Idiopathic Sigmoid Neoplasms Chemotherapy, Adjuvant Helicobacter Infections Helicobacter pylori Humans Aged Male Titanium
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