Latest AI and machine learning research in bacterial infection for healthcare professionals.
The accumulation of multiple antibiotics in the environment poses severe threats to ecosystems and h...
Regulation of transcription initiation is the ground level of modulating gene expression during plan...
OBJECTIVES: Early diagnosis of suspected sepsis is crucial to improve patient survival. Cell populat...
With the widespread use of pesticides and antibiotics in agriculture and healthcare, their associate...
Tuberculosis (TB) remains a global health crisis, with 10.8 million cases and 1.25 million deaths in...
PURPOSE: Landiolol is a beta-blocker used in the treatment of Sepsis. However, how this drug influen...
INTRODUCTION: There is an urgent need for rapid, high-throughput phenotypic antimicrobial susceptibi...
UTIs are regarded as the second most prevalent global problem, with 150 to 250 million cases reporte...
Surface-enhanced Raman spectroscopy (SERS) is a powerful, label-free technique for pathogen detectio...
Septic shock remains one of the most severe complications of infection, defined by circulatory, cell...
Antimicrobial resistance (AMR) is an intractable problem that has the potential to significantly lim...
OBJECTIVE: Guideline-based recommendations for posthemostasis resuscitation in trauma patients remai...
BACKGROUND: Sepsis in immunosuppressed patients is associated with significantly higher mortality ra...
ETHNOPHARMACOLOGICAL RELEVANCE: Sepsis is a life-threatening condition resulting from an uncontrolle...
BACKGROUND: Machine learning (ML) techniques are increasingly being used in health outcome research ...
Sepsis remains a major cause of mortality worldwide, driven by a dysregulated host response to infec...
Gut bacterial communities play a key role in shrimp health; thus, their modulation has been a target...
Background: Although primarily characterised as a motor disorder, Parkinson's Disease (PD) also pres...
OBJECTIVES: To identify relevant objective variables for retrospective identification of 'suspected ...
This study developed an artificial neural network (ANN) model to predict the 1,4-dioxane removal eff...
Systemic Lupus Erythematosus (SLE) is a complex autoimmune disorder with heterogeneous symptoms and ...