Latest AI and machine learning research in infectious disease for healthcare professionals.
To complement serology as a tool in public health interventions, we introduced the "celluloepidemiol...
INTRODUCTION: Severe respiratory infections pose a major challenge in clinical practice, especially ...
BACKGROUND: Human immunodeficiency virus (HIV), while now manageable as a chronic health condition w...
With an estimated 263 million cases recorded worldwide in 2023, malaria remains a major global healt...
PURPOSE: To reach South Africa's targets for HIV treatment and viral suppression, retention on antir...
Vaccine discovery against eukaryotic parasites is not trivial and few exist. Reverse vaccinology is ...
Rapid antimicrobial susceptibility testing (RAST) using disk diffusion (DD) from positive blood cult...
Hospital-acquired pneumonia (HAP) is prevalent in the neuro-intensive care unit (NICU), significantl...
Building efficient neural network architectures for a given dataset can be a time-consuming task req...
Differentiating significant microbial community changes from normal fluctuations is vital for unders...
Speech enhancement (SE) is critical for improving speech intelligibility and quality in various audi...
The study aims to design novel therapeutic inhibitors targeting the DHFR protein of Klebsiella pneum...
PURPOSE OF REVIEW: The implementation of artificial intelligence (AI) in urology has the potential t...
To develop and validate an explainable machine learning (ML) tool to help clinicians predict the ris...
Vaccination remains a critical tool in preventing infectious diseases, yet its effectiveness is unde...
Severe fever with thrombocytopenia syndrome (SFTS) is a widely prevalent infectious disease caused b...
Kefir, a fermented milk product, differs from yogurt due to its unique microbial composition, offeri...
BACKGROUND: Chikungunya virus (CHIKV) is a mosquito-transmitted, arthritogenic alphavirus that cause...
The parasite Enteromyxum leei causes serious emaciation disease in marine fish species. Toltrazuril ...
OBJECTIVES: To estimate the incidence of comorbidities in persons with HIV (PWH) with a stable viral...
Wastewater-based epidemiology (WBE) is a powerful method that allows community surveillance to ident...