Results 31 to 40 of about 31,941 (191)
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
Estimation of underreporting in Brazilian tuberculosis data, 2012-2014 [PDF]
arXiv, 2021 Analysis of burden of underregistration in tuberculosis data in Brazil, from 2012 to 2014. Approches of Oliveira et al. (2020) and Stoner et al. (2019) are applied. The main focus is to illustrated how the approach of Oliveira et al. (2020) can be applied when the clustering structure is not previously available.
arxiv
BMC Infectious Diseases, 2019 Background To investigate the prevalence and factors associated with the prevalence of multidrug/rifampicin-resistant tuberculosis among suspected drug resistant tuberculosis patients in Botswana.
Blackson Pitolo Tembo +1 more
doaj +1 more source
Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks [PDF]
2024 International Conference on Machine Learning and Applications
(ICMLA), Miami, FL, USA, 2024, pp. 794-797Tuberculosis persists as a global health crisis, especially in resource-limited populations and remote regions, with more than 10 million individuals newly infected annually. It stands as a stark symbol of inequity in public health. Tuberculosis impacts roughly a quarter of the global populace, with the majority of cases concentrated in eight countries,
arxiv +1 more source
Data in Brief, 2020 This set of data presents a survey data describing multidrug-resistant tuberculosis, tuberculosis patients characteristics and stress resilience during COVID-19 pandemic in West Sumatera Province, Indonesia.
Ricvan Dana Nindrea +7 more
doaj
Multidrug-resistant tuberculosis in children and response to therapy
Medical Journal of Dr. D.Y. Patil University, 2015 There is very little information available on drug-resistant (DR) tuberculosis (TB) in children in Indian scenario and especially their response to therapy. We present a series of children who were suffering from multidrug-resistant-TB and their response
Ira Shah
doaj +1 more source
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
BMC Public HealthBackground To assess the prevalence and epidemic pattern of multidrug-resistant tuberculosis in Hangzhou City, Zhejiang Province, China during 2012–2022.
Qingchun Li +12 more
doaj +1 more source
Infection and Drug Resistance, 2021 Ziad Amin,1 Habtamu Mitiku,2 Dadi Marami,2 Tadesse Shume,2 Fitsum Weldegebreal2 1Harari Health Research and Regional Laboratory, Harar, Ethiopia; 2Department of Medical Laboratory Sciences, College of Health and Medical Science, Haramaya University ...
Amin Z +4 more
doaj
Promising Prodiginins Biological Activities
Chemistry &Biodiversity, EarlyView.ABSTRACT Prodiginins are a large family of at least 34 pyrrolic compounds, including the well‐studied red pigment prodigiosin. Prodiginins are produced by several microorganisms displaying broad biological activities, including antimicrobial, antiviral, antiparasitic, antiproliferative, and immunosuppressive activities.
María F. Ladetto +6 more
wiley +1 more source