Results 41 to 50 of about 37,118 (221)
Optimal control strategies for tuberculosis treatment: a case study in Angola [PDF]
We apply optimal control theory to a tuberculosis model given by a system of ordinary differential equations. Optimal control strategies are proposed to minimize the cost of interventions. Numerical simulations are given using data from Angola.
arxiv +1 more source
Background: Resistance of Mycobacterium Tuberculosis is a condition in which Anti-Tuberculosis (OAT) drugs are unable to kill the Mycobacterium Tuberculosis germs. One type of resistance is Multidrug Resistant Tuberculosis.
Fahrur Rozi+2 more
doaj +1 more source
Background Isoniazid resistant tuberculosis is the most prevalent type of resistance in Swaziland and over two-thirds of the isoniazid resistant tuberculosis patients are tuberculosis and human immunodeficiency virus co-infected.
Nonhlanhla Christinah Dlamini+2 more
doaj +1 more source
Design to automate the detection and counting of Tuberculosis(TB) bacilli [PDF]
Tuberculosis is a contagious disease which is one of the leading causes of death, globally. The general diagnosis methods for tuberculosis include microscopic examination, tuberculin skin test, culture method, enzyme linked immunosorbent assay (ELISA) and electronic nose system.
arxiv
Quinazolinone derivatives have emerged as promising scaffolds in antimicrobial drug discovery. This work focuses on the design, synthesis, and evaluation of novel quinazolinone‐based compounds and predicts their potential to interact with mycobacterial penicillin‐binding proteins (PBPs).
MAREK KERDA+15 more
wiley +1 more source
Background: The prevalence of multidrug-resistant tuberculosis (TB) among new and retreatment cases in 2011 in Ethiopia was 2.7% and 17.9%, respectively.
Daniel Mekonnen+7 more
doaj +1 more source
Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation [PDF]
We demonstrate that Domain Invariant Feature Learning (DIFL) can improve the out-of-domain generalizability of a deep learning Tuberculosis screening algorithm. It is well known that state of the art deep learning algorithms often have difficulty generalizing to unseen data distributions due to "domain shift".
arxiv
Tuberculosis (TB) is the leading cause of death among infectious diseases, and new studies focusing new anti‐TB drugs are urgent due to the emergence of drug‐resistant strains. In this regard, homoisoflavones, an underexplored subgroup of flavonoids, were explored for their potential as anti‐TB agents.
Sanderson D. Calixto+12 more
wiley +1 more source
Synthetic Biology‐Based Engineering Living Therapeutics for Antimicrobial Application
This perspective highlights synthetic biology‐driven antibacterial strategies, focusing on three innovative approaches: engineered bacteriophages for precision bacterial targeting, reprogrammed microbes that detect quorum‐sensing signals or metabolites to release antimicrobials, and engineering mammalian cells that recognize pathogen‐associated ...
Shun Huang+4 more
wiley +1 more source
TBNet:Pulmonary Tuberculosis Diagnosing System using Deep Neural Networks [PDF]
Tuberculosis is a deadly infectious disease prevalent around the world. Due to the lack of proper technology in place, the early detection of this disease is unattainable. Also, the available methods to detect Tuberculosis is not up-to a commendable standards due to their dependency on unnecessary features, this make such technology obsolete for a ...
arxiv