Results 21 to 30 of about 37,118 (221)
Use of the GenoType MTBDRplus for early diagnosis of multidrug-resistant tuberculosis
Zaporožskij Medicinskij Žurnal, 2017 The type of diagnostics methods and their duration, loss of time for the appointment of the optimal treatment are the major categories of factors that influence on multidrug resistant tuberculosis treatment effectiveness.
O. M. Raznatovska +4 more
doaj +1 more source
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
The Lancet Public Health, 2017 Background: India has the highest number of patients with tuberculosis and multidrug-resistant tuberculosis in the world. We used a transmission model to project the emergence of drug resistance in India due to incorrect tuberculosis management practices
Stephanie Law, MSc +4 more
doaj +1 more source
Clinical Features and Treatment Outcomes of Patients with Drug-Resistant and Drug-Sensitive Tuberculosis: A Historical Cohort Study in Porto Alegre, Brazil. [PDF]
PLoS ONE, 2016 To evaluate the clinical features and treatment outcomes of patients with pulmonary tuberculosis, stratified by level of drug resistance.This was a historical cohort study based on data from the II National Anti-Tuberculosis Drug Resistance Survey (2006 ...
Vania Celina Dezoti Micheletti +2 more
doaj +1 more source
Revisiting Computer-Aided Tuberculosis Diagnosis [PDF]
, 2023 Tuberculosis (TB) is a major global health threat, causing millions of deaths annually. Although early diagnosis and treatment can greatly improve the chances of survival, it remains a major challenge, especially in developing countries. Recently, computer-aided tuberculosis diagnosis (CTD) using deep learning has shown promise, but progress is ...
arxiv +1 more source
Frontiers in MicrobiologyBackgroundThis study aims to evaluate the clinical utility of routine urinary tests and renal function assessments, as well as the Tuberculosis antibody test (TB-DOT) and T-cell spot tests for TB infection (T-SPOT.TB), either individually or in ...
Yanyan Li +19 more
doaj +1 more source
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
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
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