Mesoporous silica nanoparticles containing silver as novel antimycobacterial agents against Mycobacterium tuberculosis [PDF]
Colloids and Surfaces B: Biointerfaces, Volume 197, January 2021,
111405, 2021 Tuberculosis remains today a major public health issue with a total of 9 million new cases and 2 million deaths annually. The lack of an effective vaccine and the increasing emergence of new strains of Mycobacterium tuberculosis (Mtb) highly resistant to antibiotics, anticipate a complicated scenario in the near future.
arxiv +1 more source
SplitStrains, a tool to identify and separate mixed Mycobacterium tuberculosis infections from WGS data [PDF]
Microbial Genomics, 7, 2021, 6, 2022 The occurrence of multiple strains of a bacterial pathogen such as M. tuberculosis or C. difficile within a single human host, referred to as a mixed infection, has important implications for both healthcare and public health. However, methods for detecting it, and especially determining the proportion and identities of the underlying strains, from WGS
arxiv +1 more source
Fitting birth-death processes to panel data with applications to bacterial DNA fingerprinting [PDF]
Annals of Applied Statistics 2013, Vol. 7, No. 4, 2315-2335, 2010 Continuous-time linear birth-death-immigration (BDI) processes are frequently used in ecology and epidemiology to model stochastic dynamics of the population of interest. In clinical settings, multiple birth-death processes can describe disease trajectories of individual patients, allowing for estimation of the effects of individual covariates on the ...
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DNA Methylation in hypoxia in Mycobacterium tuberculosis [PDF]
arXiv, 2022 Tuberculosis is one of the most lethal contagious diseases caused by Mycobacterium tuberculosis (MTB), in many cases, the infected did not show any symptoms, because the bacilli entered the dormant stage in granulomas. The dormant stage of MTB is also associated with higher resistance to drugs and the immune system.
arxiv
Prediction of Tuberculosis using U-Net and segmentation techniques [PDF]
arXiv, 2021 One of the most serious public health problems in Peru and worldwide is Tuberculosis (TB), which is produced by a bacterium known as Mycobacterium tuberculosis. The purpose of this work is to facilitate and automate the diagnosis of tuberculosis using the MODS method and using lens-free microscopy, as it is easier to calibrate and easier to use by ...
arxiv
Label-free optical vibrational spectroscopy to detect the metabolic state of M. tuberculosis cells at the site of disease [PDF]
, 2017 Tuberculosis relapse is a barrier to shorter treatment. It is thought that lipid rich cells, phenotypically resistant to antibiotics, may play a major role. Most studies investigating relapse use sputum samples although tissue bacteria may play an important role. We developed a non-destructive, label-free technique combining wavelength modulated Raman (
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Using Capsule Neural Network to predict Tuberculosis in lens-free microscopic images [PDF]
arXiv, 2020 Tuberculosis, caused by a bacteria called Mycobacterium tuberculosis, is one of the most serious public health problems worldwide. This work seeks to facilitate and automate the prediction of tuberculosis by the MODS method and using lens-free microscopy, which is easy to use by untrained personnel.
arxiv
Design of an Efficient, Ease-of-use and Affordable Artificial Intelligence based Nucleic Acid Amplification Diagnosis Technology for Tuberculosis and Multi-drug Resistant Tuberculosis [PDF]
arXiv, 2021 Current technologies that facilitate diagnosis for simultaneous detection of Mycobacterium tuberculosis and its resistance to first-line anti-tuberculosis drugs (Isoniazid and Rifampicim) are designed for lab-based settings and are unaffordable for large scale testing implementations.
arxiv
Automatic semantic segmentation for prediction of tuberculosis using lens-free microscopy images [PDF]
arXiv, 2020 Tuberculosis (TB), caused by a germ called Mycobacterium tuberculosis, is one of the most serious public health problems in Peru and the world. The development of this project seeks to facilitate and automate the diagnosis of tuberculosis by the MODS method and using lens-free microscopy, due they are easier to calibrate and easier to use (by untrained
arxiv
Proposing a two-step Decision Support System (TPIS) based on Stacked ensemble classifier for early and low cost (step-1) and final (step-2) differential diagnosis of Mycobacterium Tuberculosis from non-tuberculosis Pneumonia [PDF]
arXiv, 2020 Background: Mycobacterium Tuberculosis (TB) is an infectious bacterial disease presenting similar symptoms to pneumonia; therefore, differentiating between TB and pneumonia is challenging. Therefore, the main aim of this study is proposing an automatic method for differential diagnosis of TB from Pneumonia.
arxiv