Using Capsule Neural Network to predict Tuberculosis in lens-free microscopic images [PDF]
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]
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
To examine the transmission dynamics of Mycobacterium tuberculosis (Mtb) isolated from tuberculosis patients in Ho Chi Minh City, Vietnam, we sequenced the whole genomes of 1,635 isolates and compared these with 3,144 isolates from elsewhere.
K. Holt+20 more
semanticscholar +1 more source
Is Mycobacterium tuberculosis infection life long?
People with immunoreactivity to tuberculosis are thought to have lifelong asymptomatic infection and remain at risk for active tuberculosis.
M. Behr, P. Edelstein, L. Ramakrishnan
semanticscholar +1 more source
Cholesterol and fatty acids grease the wheels of Mycobacterium tuberculosis pathogenesis.
Tuberculosis is a distinctive disease in which the causative agent, Mycobacterium tuberculosis, can persist in humans for decades by avoiding clearance from host immunity. During infection, M.
Kaley M. Wilburn+2 more
semanticscholar +1 more source
Automatic semantic segmentation for prediction of tuberculosis using lens-free microscopy images [PDF]
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
The species within the Mycobacterium tuberculosis Complex (MTBC) have undergone numerous taxonomic and nomenclatural changes, leaving the true structure of the MTBC in doubt. We used next-generation sequencing (NGS), digital DNA-DNA hybridization (dDDH),
Marco A. Riojas+4 more
semanticscholar +1 more source
Mycobacterium tuberculosis: An Adaptable Pathogen Associated With Multiple Human Diseases
Mycobacterium tuberculosis, the etiological agent of tuberculosis (TB), is an extremely successful pathogen that adapts to survive within the host. During the latency phase of infection, M.
Qiyao Chai, Yong Zhang, C. Liu
semanticscholar +1 more source
Antimicrobial resistance in Mycobacterium tuberculosis: mechanistic and evolutionary perspectives
Antibiotic-resistant Mycobacterium tuberculosis strains are threatening progress in containing the global tuberculosis epidemic. Mycobacterium tuberculosis is intrinsically resistant to many antibiotics, limiting the number of compounds available for ...
Sebastian M. Gygli+3 more
semanticscholar +1 more source
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]
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