Latest AI and machine learning research in bacterial infection for healthcare professionals.
Increasing antimicrobial resistance (AMR) represents a global healthcare threat. To decrease the spr...
Deep learning (DL)-based methods have been successfully employed as asynchronous classification algo...
Machine learning (ML) has been applied in sepsis recognition across different healthcare settings wi...
Carbapenem-resistant Enterobacteriaceae (CRE) is a major pathogen that poses a serious threat to hum...
Infections from multidrug-resistant (MDR) bacteria have emerged as a paramount global health concern...
This review explores the mechanisms of chronic radiation-induced skin injury fibrosis, focusing on t...
Wastewater treatment plants receive low concentrations of antibiotics. Residual concentrations of an...
Paeonol (2-hydroxy-4-methoxyphenylacetophenone) is a natural phenolic component isolated from the ro...
Bacterial infections, increasingly resistant to common antibiotics, pose a global health challenge. ...
BACKGROUND: Neonatal sepsis is responsible for significant morbidity and mortality worldwide. Its ac...
Mastitis has a substantial impact on the dairy industry across the world, causing dairy producers to...
Manual curation of bacterial cell detections in microscopy images remains a time-consuming and labor...
Marine bacteria have been considered as important participants in revealing various carbon/sulfur/ni...
Urinary tract infection (UTI) is a common disorder. Its diagnosis can be made by microscopic examina...
BACKGROUND: The emergence and rapid spread of multi-drug resistant (MDR) bacterial strains, such as ...
BACKGROUND: Bacterial vaginosis (BV) is a common clinical manifestation of a perturbed vaginal ecolo...
Discovery of small-molecule antibiotics with novel chemotypes serves as one of the essential strateg...
The rising prevalence of antimicrobial resistance (AMR) of bacteria is a global health problem at th...
Antimicrobial resistance is a global public health threat, and the World Health Organization (WHO) h...
Our research focused on assessing essential oils (MSEO) and aqueous extracts (MSAE) derived from M. ...
The sustainable extraction of natural compounds has recently attracted significant attention. The ex...