Latest AI and machine learning research in infectious disease for healthcare professionals.
The diagnosis of lung diseases such as pneumonia and tuberculosis remains a major global health chal...
BACKGROUND: Due to immunosuppression, mucosal barrier injury, and prolonged neutropenia resulting fr...
For the precise molecular detection of bloodstream infection, sample processing is critical, as it i...
Oxygen is a primary driver of the distribution and activity of microbial life. Since oxygen levels a...
Autoimmune Hepatitis (AIH) is a liver disease with a wide clinical spectrum, driven by an abnormal i...
Helicobacter pylori (H. pylori) is a globally prevalent gastric pathogen whose increasing antimicrob...
OBJECTIVES: Malaria remains a major public health concern in flood-prone districts where environment...
ETHNOPHARMACOLOGICAL RELEVANCE: Hypericum perforatum L. has been used for centuries in traditional m...
ETHNOPHARMACOLOGICAL RELEVANCE: Atractylodes Macrocephala Rhizome (AMR), the dried rhizome of Atract...
OBJECTIVES: To describe the epidemiology of local signs at intravascular catheter insertion sites ac...
OBJECTIVES: Predictive models are increasingly used to support the clinical management of dengue, bu...
BACKGROUND: The COVID-19 pandemic demonstrated the potential role of digital health tools in enhanci...
INTRODUCTION: Sepsis is a life-threatening condition in intensive care units (ICUs), where any delay...
Neonatal sepsis is a leading cause of infant morbidity and mortality in low- and middle-income count...
Cryptosporidium is a waterborne parasite which poses significant risks to drinking water safety. Des...
BACKGROUND: Neglected tropical diseases (NTDs) disproportionately affect populations in low- and mid...
SUMMARYPreterm infants face a unique trajectory of gut microbiome assembly, shaped by the convergenc...
Malaria remains a substantial global health burden with current diagnostics having notable limitatio...
Metagenomic next-generation sequencing (mNGS) has expanded the scope of clinical diagnostics by enab...
The U.S. FDA classifies food recalls into three severity tiers (Class IÂ /Â IIÂ /Â III), a decision that...
To develop and validate an interpretable HRCT radiomics-based machine learning model for early risk ...