Latest AI and machine learning research in infectious disease for healthcare professionals.
In the face of the serious threat of antibiotic residues in food to human health, it is urgent to de...
Rapid and accurate identification of bacterial pathogens and their degree of pathogenicity is essent...
OBJECTIVES: An evidence synthesis informed the 2023 WHO infection prevention and control (IPC) guide...
CONTEXT: The accurate identification of febrile infants who are at risk for invasive bacterial infec...
Globally, the pathogen-driven enteric diseases remain a leading cause of morbidity and mortality, di...
BACKGROUND AND AIM: The world witnessed COVID-19 in 2025 yet again, a resurgence driven by LF.7 and ...
BACKGROUND: Traditional surveillance systems often struggle with the volatility of weekly case data,...
Anthropogenic landscape transformations are fundamentally reshaping the epidemiology of vector-borne...
BACKGROUND: Blood gas parameters are associated with sepsis prognosis. This study aimed to develop a...
Hantavirus pulmonary syndrome (HPS) is an uncommon zoonotic respiratory illness with a high case fat...
BACKGROUND: Accurate short-term influenza forecasting is important for early warning and public heal...
BACKGROUND: Rapid screening of hematolymphoid malignancies (HMs) by complete blood cell count (CBC) ...
INTRODUCTION: Often used interchangeably with 'additive manufacturing,' 3D printing involves creatin...
Estimating, understanding, and communicating uncertainty is fundamental to statistical epidemiology,...
Hormesis, a phenomenon frequently found in some low-dose chemical mixtures and their individual comp...
Viral infections are a major contributor to global cancer incidence and mortality. However, integrat...
Clostridioides difficile exemplifies a pathogen that leverages its metabolic plasticity to exploit n...
Antimicrobial resistance (AMR) is outpacing antibiotic development, creating an urgent need for disc...
Wildfire smoke is a major source of fine particulate matter (PM2.5) and may increase vulnerability t...
BACKGROUND: Machine learning (ML), deep learning (DL) and other predictive modelling approaches are ...
BACKGROUND: External comparisons of hospital antimicrobial use (AU), risk-adjusted using encounter c...