AIMS: This article presents models of artificial neural networks (ANN) employed to predict the biological activity of chemical compounds based of their structure. Regression and classification models were designed to determine antimicrobial propertie...
AIMS: Analysis and tracking of antimicrobial utilization (AU) are crucial in antimicrobial stewardship efforts which are used to find effective interventions for controlling antimicrobial resistance. In antimicrobial stewardship, standard risk adjust...
AIMS: The foundation of biohydrogen production lies in the utilization of efficient hydrogen-producing strains. This study aims to isolate highly efficient hydrogen-producing strains and enhance hydrogen production performance by optimizing the ferme...
Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), remains a major global health threat, compounded by the rise of extensively drug-resistant (XDR) and multidrug-resistant (MDR) strains. This review critically examines the current landsca...
An efficient microbial conversion for simultaneous synthesis of multiple high-value compounds, such as biosurfactants and enzymes, is one of the most promising aspects for an economical bioprocess leading to a marked reduction in production cost. Alt...