AIMC Topic: Mycobacterium tuberculosis

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Accurate and rapid prediction of tuberculosis drug resistance from genome sequence data using traditional machine learning algorithms and CNN.

Scientific reports Feb 14, 2022
Effective and timely antibiotic treatment depends on accurate and rapid in silico antimicrobial-resistant (AMR) predictions. Existing statistical rule-based Mycobacterium tuberculosis (MTB) drug resistance prediction methods using bacterial genomic s...
Phenotype Prognosis Phylogeny Deep Learning Microbial Sensitivity Tests Humans Tuberculosis, Multidrug-Resistant Whole Genome Sequencing Mycobacterium tuberculosis Data Accuracy Genome, Bacterial Drug Resistance, Multiple, Bacterial Cohort Studies Mutation Antitubercular Agents
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CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice.

PLoS pathogens Aug 17, 2021
More humans have died of tuberculosis (TB) than any other infectious disease and millions still die each year. Experts advocate for blood-based, serum protein biomarkers to help diagnose TB, which afflicts millions of people in high-burden countries....
Mycobacterium tuberculosis Animals, Outbred Strains Chemokine CXCL1 Cytokines Transcriptome Humans Biomarkers ROC Curve Machine Learning Female Mice Animals Mice, Inbred C57BL Tuberculosis, Pulmonary
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Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning framework.

European journal of nuclear medicine and molecular imaging Jun 16, 2021
PURPOSE: To develop and evaluate the effectiveness of a deep learning framework (3D-ResNet) based on CT images to distinguish nontuberculous mycobacterium lung disease (NTM-LD) from Mycobacterium tuberculosis lung disease (MTB-LD).
Humans Retrospective Studies Tomography, X-Ray Computed Mycobacterium tuberculosis Deep Learning Nontuberculous Mycobacteria Diagnosis, Differential Lung Diseases Tuberculosis
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Automated detection of Mycobacterium tuberculosis using transfer learning.

Journal of infection in developing countries May 31, 2021
INTRODUCTION: Quantitative analysis of Mycobacterium tuberculosis using microscope is very critical for diagnosing tuberculosis diseases. Microbiologist encounter several challenges which can lead to misdiagnosis. However, there are 3 main challenges...
Mycobacterium tuberculosis Diagnostic Tests, Routine Humans Machine Learning Sensitivity and Specificity Tuberculosis, Pulmonary
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Development and performance of CUHAS-ROBUST application for pulmonary rifampicin-resistance tuberculosis screening in Indonesia.

PloS one Mar 25, 2021
BACKGROUND AND OBJECTIVES: Diagnosis of Pulmonary Rifampicin Resistant Tuberculosis (RR-TB) with the Drug-Susceptibility Test (DST) is costly and time-consuming. Furthermore, GeneXpert for rapid diagnosis is not widely available in Indonesia. This st...
Tuberculosis Mycobacterium tuberculosis Rifampin Antibiotics, Antitubercular ROC Curve Logistic Models Area Under Curve Indonesia Sensitivity and Specificity Cross-Sectional Studies Male Middle Aged Humans Neural Networks, Computer Drug Resistance, Bacterial Female Adult
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A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers.

Tuberculosis (Edinburgh, Scotland) Jan 4, 2021
Recently, the number of artificial intelligence powered computer-aided detection (CAD) products that detect tuberculosis (TB)-related abnormalities from chest X-rays (CXR) available on the market has increased. Although CXR is a relatively effective ...
Mycobacterium tuberculosis Diffusion of Innovation Automation Host-Pathogen Interactions Radiography, Thoracic Deep Learning Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Tuberculosis, Pulmonary Humans Software Reproducibility of Results Lung Diagnosis, Computer-Assisted
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Automatic discovery of clinically interpretable imaging biomarkers for Mycobacterium tuberculosis supersusceptibility using deep learning.

EBioMedicine Nov 7, 2020
BACKGROUND: Identifying which individuals will develop tuberculosis (TB) remains an unresolved problem due to few animal models and computational approaches that effectively address its heterogeneity. To meet these shortcomings, we show that Diversit...
Mycobacterium tuberculosis Humans Molecular Imaging Machine Learning Immunohistochemistry Algorithms Deep Learning Disease Susceptibility Female Biomarkers Image Processing, Computer-Assisted Prognosis Computational Biology Reproducibility of Results Disease Models, Animal Animals Tuberculosis Male
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Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches.

Scientific reports Oct 22, 2020
Rifampicin resistance is a major therapeutic challenge, particularly in tuberculosis, leprosy, P. aeruginosa and S. aureus infections, where it develops via missense mutations in gene rpoB. Previously we have highlighted that these mutations reduce p...
Rifampin Mutation, Missense Leprosy Mycobacterium leprae Antitubercular Agents Tuberculosis Staphylococcal Infections Mycobacterium tuberculosis Machine Learning Drug Resistance, Bacterial Staphylococcus aureus Bacterial Proteins Humans
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Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed disease.

The Lancet. Digital health Oct 19, 2020
BACKGROUND: Deep learning-based radiological image analysis could facilitate use of chest x-rays as triage tests for pulmonary tuberculosis in resource-limited settings. We sought to determine whether commercially available chest x-ray analysis softw...
Deep Learning HIV Infections Humans Image Processing, Computer-Assisted Software Body Mass Index Tuberculosis, Pulmonary Triage Prospective Studies Sensitivity and Specificity Age Factors Mycobacterium tuberculosis Radiology Female Sex Factors Male Young Adult X-Rays Sputum Middle Aged Adult Pakistan Lung
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Machine-assisted interpretation of auramine stains substantially increases through-put and sensitivity of microscopic tuberculosis diagnosis.

Tuberculosis (Edinburgh, Scotland) Sep 19, 2020
Of all bacterial infectious diseases, infection by Mycobacterium tuberculosis poses one of the highest morbidity and mortality burdens on humans throughout the world. Due to its speed and cost-efficiency, manual microscopy of auramine-stained sputum ...
Coloring Agents Staining and Labeling Mycobacterium tuberculosis Sputum Benzophenoneidum Humans Microscopy, Fluorescence Retrospective Studies Tuberculosis Deep Learning Image Processing, Computer-Assisted
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