AIMC Topic: Tuberculosis, Multidrug-Resistant
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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...
GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.
Genome medicine
Aug 30, 2021
BACKGROUND: Multidrug-resistant Mycobacterium tuberculosis (Mtb) is a significant global public health threat. Genotypic resistance prediction from Mtb DNA sequences offers an alternative to laboratory-based drug-susceptibility testing. User-friendly...
Evaluation of magnesium oxide and zinc oxide nanoparticles against multi-drug-resistance Mycobacterium tuberculosis.
The Indian journal of tuberculosis
Aug 4, 2020
OBJECTIVE: The current study has evaluated the MICs and MBCs of ZnONPs, MgONPs, and MgONPs-ZnONPs against HRv Mtb and MDR-Mtb.
Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis.
Scientific reports
Mar 26, 2020
Tuberculosis (TB), an infectious disease caused by Mycobacterium tuberculosis (M.tb), causes highest number of deaths globally for any bacterial disease necessitating novel diagnosis and treatment strategies. High-throughput sequencing methods genera...
Humans
Artificial Intelligence
Polymorphism, Single Nucleotide
Bayes Theorem
Bacterial Proteins
Mutation
Tuberculosis, Multidrug-Resistant
Machine Learning
Algorithms
Molecular Docking Simulation
Drug Resistance, Multiple, Bacterial
Molecular Dynamics Simulation
Mycobacterium tuberculosis
Genes, Bacterial
Genes, MDR
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...
Genome, Bacterial
Extensively Drug-Resistant Tuberculosis
Antitubercular Agents
Tuberculosis, Multidrug-Resistant
Genetic Variation
Mycobacterium tuberculosis
Microbial Sensitivity Tests
ROC Curve
Genomics
Computational Biology
Databases, Genetic
Cluster Analysis
Models, Statistical
Evolution, Molecular
Humans
Machine Learning
Prognosis
Reproducibility of Results
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...
Detecting drug-resistant tuberculosis in chest radiographs.
International journal of computer assisted radiology and surgery
Oct 3, 2018
PURPOSE: Tuberculosis is a major global health threat claiming millions of lives each year. While the total number of tuberculosis cases has been decreasing over the last years, the rise of drug-resistant tuberculosis has reduced the chance of contro...
Prediction of Multidrug-Resistant TB from CT Pulmonary Images Based on Deep Learning Techniques.
Molecular pharmaceutics
Jan 29, 2018
While tuberculosis (TB) disease was discovered more than a century ago, it has not been eradicated yet. Quite contrary, at present, TB constitutes one of the top 10 causes of death and has shown signs of increasing. To complement the conventional dia...
Artificial Intelligence and Amikacin Exposures Predictive of Outcomes in Multidrug-Resistant Tuberculosis Patients.
Antimicrobial agents and chemotherapy
Sep 23, 2016
Aminoglycosides such as amikacin continue to be part of the backbone of treatment of multidrug-resistant tuberculosis (MDR-TB). We measured amikacin concentrations in 28 MDR-TB patients in Botswana receiving amikacin therapy together with oral levofl...
Microbial Sensitivity Tests
Adolescent
Models, Theoretical
Treatment Outcome
Tuberculosis, Multidrug-Resistant
Tuberculosis, Pulmonary
Mycobacterium tuberculosis
Regression Analysis
Antitubercular Agents
Young Adult
Adult
Humans
Artificial Intelligence
Male
Amikacin
Female
Middle Aged
Botswana
Aged
Aged, 80 and over
An Imbalanced Learning based MDR-TB Early Warning System.
Journal of medical systems
May 21, 2016
As a man-made disease, multidrug-resistant tuberculosis (MDR-TB) is mainly caused by improper treatment programs and poor patient supervision, most of which could be prevented. According to the daily treatment and inspection records of tuberculosis (...
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