Latest AI and machine learning research in bacterial infection for healthcare professionals.
Disinfection has been applied widely for the removal of antibiotic resistance genes (ARGs) to curb t...
The COmmunicating Narrative Concerns Entered by RNs (CONCERN) early warning system (EWS) uses real-t...
ETHNOPHARMACOLOGICAL RELEVANCE: Alpinia japonica, a traditional herb utilized in Miao medicine in so...
BACKGROUND: Vancomycin is commonly dosed using standard weight-based methods before dose adjustments...
Pancreatic cancer (PC) is a fatal disease with an extremely low 5-year survival rate, mainly because...
BACKGROUND: Sepsis, a severe systemic response to infection, frequently results in adverse outcomes,...
In this paper, we present the Colonial Bacterial Memetic Algorithm (CBMA), an advanced evolutionary ...
Bacterial infection is a thorny threat in a variety of fields, including medicine, environment, food...
Sepsis is a serious threat to human life. Early prediction of high-risk populations for sepsis is ne...
BACKGROUND: Pertussis is a highly contagious respiratory disease. Even though vaccination has reduce...
BACKGROUND: Sepsis is a complex, life-threatening condition characterized by significant heterogenei...
OBJECTIVE: Bloodstream infection (BSI) is a significant cause of mortality in patients with hematolo...
We aimed to investigate the independent outcome predictors of continuous antibiotic prophylaxis (CAP...
() antibiotic resistance poses a global health threat. Accurate identification of antibiotic resist...
Hypervirulent Klebsiella pneumoniae (hvKP), known for its high virulence and epidemic potential, has...
The increasing global incidence of atopic dermatitis (AD) in children, especially in Western industr...
A biofilm is a group of bacteria that have self-produced a matrix and are grouped together in a dens...
OBJECTIVES: Large language models (LLMs) show promise in clinical decision-making, but comparative e...
Despite current surveillance and sanitation strategies, foodborne pathogens continue to threaten the...
With the rapid advancement of artificial intelligence in health care, large language models (LLMs) ...
PURPOSE: To develop three novel Vision Transformer (ViT) frameworks for the specific diagnosis of ba...