AIMC Topic: Antitubercular Agents
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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.
A machine learning-based framework for Predicting Treatment Failure in tuberculosis: A case study of six countries.
Tuberculosis (Edinburgh, Scotland)
Jun 23, 2020
Tuberculosis is ranked as the 2nd deadliest disease in the world and is responsible for ten million deaths in 2017. Treatment failure is one of a main reason behind these deaths. Reasons of treatment failure are still unknown and the death rate due t...
Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.
Computer methods and programs in biomedicine
Dec 27, 2019
BACKGROUND: The study compared the predictive outcomes of artificial neural network, support vector machine and random forest on the occurrence of anti-tuberculosis drug-induced hepatotoxicity.
Humans
Neural Networks, Computer
Chemical and Drug Induced Liver Injury
Antitubercular Agents
Tuberculosis
Gene Frequency
Polymorphism, Genetic
Male
Middle Aged
Drug Discovery
ROC Curve
Support Vector Machine
Aged
Genomics
Machine Learning
Liver
Genotype
Female
Aged, 80 and over
Taiwan
Reproducibility of Results
Adult
Risk Factors
Sensitivity and Specificity
Antitubercular metabolites from the marine-derived fungus strain MF029.
Natural product research
Sep 6, 2019
During the systematic screening of bioactive compounds from our marine natural product library, crude extract of the marine-derived fungus strain MF029 exhibited moderate bioactivities against , S, methicillin-resistant , and bacillus Calmette-Guér...
Perceptions of drones, digital adherence monitoring technologies and educational videos for tuberculosis control in remote Madagascar: a mixed-method study protocol.
BMJ open
May 9, 2019
INTRODUCTION: Poor road and communication infrastructure pose major challenges to tuberculosis (TB) control in many regions of the world. TB surveillance and patient support often fall to community health workers (CHWs) who may lack the time or knowl...
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...
Tuberculosis, Multidrug-Resistant
Genetic Variation
Mycobacterium tuberculosis
Genome, Bacterial
Extensively Drug-Resistant Tuberculosis
Prognosis
Cluster Analysis
Reproducibility of Results
ROC Curve
Models, Statistical
Microbial Sensitivity Tests
Genomics
Evolution, Molecular
Humans
Computational Biology
Antitubercular Agents
Machine Learning
Databases, Genetic
Automatic diagnostics of tuberculosis using convolutional neural networks analysis of MODS digital images.
PloS one
Feb 27, 2019
Tuberculosis is an infectious disease that causes ill health and death in millions of people each year worldwide. Timely diagnosis and treatment is key to full patient recovery. The Microscopic Observed Drug Susceptibility (MODS) is a test to diagnos...
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...
Ethambutol-induced optic neuropathy in renal disorder: a clinico-electrophysiological study.
Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
Aug 25, 2018
OBJECTIVE: To report the spectrum of ethambutol induced optic neuropathy in a group of renal patients with tuberculosis and the role of visual evoked response (VER) in evaluating this disorder.
Predicting treatment outcome of drug-susceptible tuberculosis patients using machine-learning models.
Informatics for health & social care
Feb 20, 2018
Tuberculosis (TB) is a deadly contagious disease and a serious global health problem. It is curable but due to its lengthy treatment process, a patient is likely to leave the treatment incomplete, leading to a more lethal, drug resistant form of dise...
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