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Tuberculosis, Pulmonary

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Levofloxacin Pharmacokinetics/Pharmacodynamics, Dosing, Susceptibility Breakpoints, and Artificial Intelligence in the Treatment of Multidrug-resistant Tuberculosis.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America Nov 28, 2018
BACKGROUND: Levofloxacin is used for the treatment of multidrug-resistant tuberculosis; however the optimal dose is unknown.
Sputum Antitubercular Agents Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial Mycobacterium tuberculosis Drug Therapy, Combination Tuberculosis, Multidrug-Resistant Tuberculosis, Pulmonary Humans Artificial Intelligence Algorithms Monte Carlo Method Levofloxacin
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Artificial intelligence-derived 3-Way Concentration-dependent Antagonism of Gatifloxacin, Pyrazinamide, and Rifampicin During Treatment of Pulmonary Tuberculosis.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America Nov 28, 2018
BACKGROUND: In the experimental arm of the OFLOTUB trial, gatifloxacin replaced ethambutol in the standard 4-month regimen for drug-susceptible pulmonary tuberculosis. The study included a nested pharmacokinetic (PK) study. We sought to determine if ...
Dose-Response Relationship, Drug Antitubercular Agents Rifampin Humans Female Tuberculosis, Pulmonary Middle Aged Gatifloxacin Artificial Intelligence Young Adult Adult Adolescent Pyrazinamide Male
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Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease Mar 1, 2018
OBJECTIVE: To evaluate the feasibility of Deep Learning-based detection and classification of pathological patterns in a set of digital photographs of chest X-ray (CXR) images of tuberculosis (TB) patients.
Teleradiology Tuberculosis, Pulmonary Radiography, Thoracic Feasibility Studies Humans Uganda Software Prospective Studies Deep Learning Predictive Value of Tests ROC Curve Female Adult HIV Infections Male Coinfection
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Qualitative analysis of biological tuberculosis samples by an electronic nose-based artificial neural network.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease Jul 1, 2017
OBJECTIVE: To apply an e-nose system for monitoring headspace volatiles in biological samples from Egyptian patients with active pulmonary tuberculosis (TB) and healthy controls (HCs) and compare them with standard sputum analysis.
Case-Control Studies Tuberculosis, Pulmonary Adolescent Electronic Nose Aged Male Sputum Socioeconomic Factors Principal Component Analysis Neural Networks, Computer Young Adult Middle Aged Mass Screening Humans Egypt Female Adult Sensitivity and Specificity
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