AIMC Topic: Mycobacterium tuberculosis

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Beyond multidrug resistance: Leveraging rare variants with machine and statistical learning models in Mycobacterium tuberculosis resistance prediction.

EBioMedicine Apr 29, 2019
BACKGROUND: The diagnosis of multidrug resistant and extensively drug resistant tuberculosis is a global health priority. Whole genome sequencing of clinical Mycobacterium tuberculosis isolates promises to circumvent the long wait times and limited s...
Reproducibility of Results Microbial Sensitivity Tests ROC Curve Genomics Computational Biology Humans Machine Learning Prognosis Tuberculosis, Multidrug-Resistant Genetic Variation Mycobacterium tuberculosis Genome, Bacterial Extensively Drug-Resistant Tuberculosis Databases, Genetic Cluster Analysis Models, Statistical Evolution, Molecular Antitubercular Agents
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An effective and accurate identification system of Mycobacterium tuberculosis using convolution neural networks.

Microscopy research and technique Feb 11, 2019
Tuberculosis (TB) remains the leading cause of morbidity and mortality from infectious disease in developing countries. The sputum smear microscopy remains the primary diagnostic laboratory test. However, microscopic examination is always time-consum...
Mycobacterium tuberculosis Humans Neural Networks, Computer Image Processing, Computer-Assisted Sputum Microscopy Tuberculosis, Pulmonary
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Rapid microarray-based assay for detection of pyrazinamide resistant Mycobacterium tuberculosis.

Diagnostic microbiology and infectious disease Dec 30, 2018
Pyrazinamide (PZA) is a key antibiotic for the treatment of drug susceptible tuberculosis. PZA-resistance is mainly mediated by mutations in the pncA gene; however the current gold standard is a phenotypic drug susceptibility test requiring a well-ad...
Amidohydrolases Molecular Diagnostic Techniques Humans Transition Temperature Eswatini DNA, Bacterial Sensitivity and Specificity Microarray Analysis Antitubercular Agents Time Factors Pyrazinamide Tuberculosis, Multidrug-Resistant Genotype Mycobacterium tuberculosis
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Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance.

Nature communications Oct 17, 2018
Mycobacterium tuberculosis is a serious human pathogen threat exhibiting complex evolution of antimicrobial resistance (AMR). Accordingly, the many publicly available datasets describing its AMR characteristics demand disparate data-type analyses. He...
Gene Frequency Selection, Genetic Genome, Bacterial Machine Learning Drug Resistance, Bacterial Mycobacterium tuberculosis
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Towards better prediction of Mycobacterium tuberculosis lineages from MIRU-VNTR data.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases Jun 28, 2018
The determination of lineages from strain-based molecular genotyping information is an important problem in tuberculosis. Mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) typing is a commonly used molecular genotyp...
Machine Learning Phylogeny Computational Biology Tuberculosis Genetic Variation Humans Interspersed Repetitive Sequences Minisatellite Repeats Mycobacterium tuberculosis Molecular Epidemiology Databases, Nucleic Acid New York City
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Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models.

Tuberculosis (Edinburgh, Scotland) May 19, 2018
Tuberculosis (TB) remains a significant public health challenge, motivated by the diversity of healthcare epidemiological settings, as other factors. Cost-effective screening has substantial importance for TB control, demanding new diagnostic tools. ...
Diagnosis, Computer-Assisted Decision Support Systems, Clinical Mass Screening Predictive Value of Tests Sputum Risk Assessment Brazil Lung Prevalence Tuberculosis, Pulmonary Mycobacterium tuberculosis Bacteriological Techniques Decision Support Techniques Databases, Factual Female Reproducibility of Results Risk Factors Young Adult Adult Male Middle Aged Humans Neural Networks, Computer
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hexanic extract displays  synergistic antibacterial activity against .

Natural product research Dec 25, 2017
A phytochemical and antibacterial study of , a species endemic to Mexico, was performed allowing the isolation of six flavones. The minimal inhibitory concentration (MIC) of the hexanic extract, against H37Rv was 25 μg/mL. The hexanic extract cause...
Hexanes Asteraceae Flavones Mexico Antitubercular Agents Mycobacterium tuberculosis Drug Synergism Microbial Sensitivity Tests Plant Extracts
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Evaluation of a Urine-Based Rapid Molecular Diagnostic Test with Potential to Be Used at Point-of-Care for Pulmonary Tuberculosis: Cape Town Cohort.

The Journal of molecular diagnostics : JMD Dec 18, 2017
Tuberculosis (TB) diagnosis among sputum-scarce patients is time consuming. Thus, a nonsputum diagnostic alternative is urgently needed. The Mycobacterium tuberculosis-specific transrenal (Tr) DNA from urine is a potential target for TB diagnostics. ...
Female Risk Factors Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Cross-Sectional Studies Male Humans Biomarkers South Africa Microscopy Tuberculosis, Pulmonary Mycobacterium tuberculosis Diagnostic Tests, Routine Polymerase Chain Reaction Molecular Diagnostic Techniques Multivariate Analysis Point-of-Care Systems DNA, Bacterial Middle Aged Logistic Models HIV Infections Universities Cohort Studies Sputum
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A multicentre verification study of the QuantiFERON-TB Gold Plus assay.

Tuberculosis (Edinburgh, Scotland) Nov 28, 2017
OBJECTIVES: The aim of this verification study was to compare the QuantiFERON-TB Gold Plus (QFT-Plus) to the QuantiFERON-TB Gold In Tube (QFT-GIT). The new QFT-Plus test contains an extra antigen tube which, according to the manufacturer additionally...
CD4-Positive T-Lymphocytes Mycobacterium tuberculosis Latent Tuberculosis Netherlands Humans Host-Pathogen Interactions Belgium Female Interferon-gamma Antigens, Bacterial Reproducibility of Results Male Interferon-gamma Release Tests Adult Middle Aged CD8-Positive T-Lymphocytes Predictive Value of Tests
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Acquaintance to Artificial Neural Networks and use of artificial intelligence as a diagnostic tool for tuberculosis: A review.

Tuberculosis (Edinburgh, Scotland) Sep 20, 2017
Tuberculosis [TB] has afflicted numerous nations in the world. As per a report by the World Health Organization [WHO], an estimated 1.4 million TB deaths in 2015 and an additional 0.4 million deaths resulting from TB disease among people living with ...
Mycobacterium tuberculosis Early Diagnosis Host-Pathogen Interactions Diagnosis, Computer-Assisted Fuzzy Logic Predictive Value of Tests Humans Tuberculosis Neural Networks, Computer Decision Support Techniques Biomarkers Reproducibility of Results
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