Latest AI and machine learning research in bacterial infection for healthcare professionals.
The aim of this study was to investigate the drug release behavior from bacterial cellulose (BC). Ib...
In this paper, a novel bio-inspired trajectory planning method is proposed for robotic systems based...
To predict bacterial population behavior in food, statistical models with specific function form hav...
In this study, a fluorescent biosensor was developed for the sensitive detection of typhimurium usi...
BACKGROUND: Antimicrobial peptides are promising tools to fight against ever-growing antibiotic resi...
BACKGROUND: The pandemic caused by severe acute respiratory coronavirus virus 2 (SARS-CoV-2) has dra...
Coronavirus disease-19 (COVID-19) is a severe respiratory viral disease first reported in late 2019 ...
The enrichment of polyhydroxyalkanoates (PHA) accumulating bacteria (PAB) in mixed microbial culture...
This study was designed to evaluate the optimal conditions for the eco-friendly synthesis of silver ...
We have developed the program TwinCons, to detect noisy signals of deep ancestry of proteins or nucl...
We present SquiggleNet, the first deep-learning model that can classify nanopore reads directly from...
AIM: Currently, a new coronavirus called COVID-19 is the biggest challenge of the human at 21st cent...
A massive amount of multimodal data are continuously collected in the intensive care unit (ICU) alon...
The study aimed to assess the proficiency of secondary metabolites (SMs) synthesized by actinobacter...
PURPOSE: Some predictive systems using machine learning models have been developed to predict sepsis...
Since the discovery of penicillin, the development and use of antibiotics have promoted safe and eff...
Sensorimotor adaptation involves the recalibration of the mapping between motor command and sensory ...
The resistance of urinary tract pathogenic bacteria to various antibiotics is increasing, which requ...
Ethiopian honey wine, Tej, is spontaneously fermented traditional alcoholic beverage, usually made f...
Although numerous studies are conducted every year on how to reduce the fatality rate associated wi...
Inhalation exposure to the resuspended biological particles from public places can cause adverse eff...