Latest AI and machine learning research in bacterial infection for healthcare professionals.
Despite advancements in detection and treatment, tuberculosis (TB), an infectious illness caused by ...
Lactobacillus delbrueckii subsp. bulgaricus (L. bulgaricus) and Streptococcus thermophilus (S. therm...
The detection of foodborne bacteria is critical in ensuring both consumer safety and food safety. If...
BACKGROUND: Infections caused by antibiotic-resistant bacteria pose a major challenge to modern heal...
This study aimed to calculate the effect of nanopatterns' peak sharpness, width, and spacing paramet...
In the last decades, antibiotic resistance has been considered a severe problem worldwide. Antimicro...
The pervasive presence of microplastics (MPs) in aquatic systems facilitates the transmission of ant...
The sluggish pace of new antibacterial drug development reflects a vulnerability in the face of the ...
Legionella pneumophila (L. pneumophila) is a pathogenic bacterium primarily known for causing Legion...
To address the limitations inherent in both sulfur autotrophic denitrification (SAD) and heterotroph...
Antibiotic resistance in bacterial pathogens is a major threat to global health, exacerbated by the ...
Bacterial identification is a critical process in microbiology, clinical diagnostics, environmental ...
Type II secretion System has been increasingly recognized as a key driver of virulence in many patho...
The accurate discrimination of bacterial infection is imperative for precise clinical diagnosis and ...
Artificial intelligence (AI) technology is advancing the digitization and intelligence development o...
Metal contamination in soil poses environmental and health risks requiring effective remediation str...
The MBT Pathfinder is an automated colony-picking robot designed for efficient sample preparation in...
Antimicrobials, such as antibiotics or antivirals are medications employed to prevent and treat infe...
Urinary tract infections (UTIs) are pervasive and prevalent in both community and hospital settings....
This retrospective study used 10 machine learning algorithms to predict the risk of healthcare-assoc...
Antimicrobial resistance (AMR) presents a significant threat to global healthcare. Proteus mirabilis...