Latest AI and machine learning research in infectious disease for healthcare professionals.
Adeno-associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, prov...
Antimicrobial resistance (AMR) is one of the most significant public health threats today. The need ...
This review explores the growing global concern of fungal infections, particularly in immunocompromi...
Background and objectiveCOVID-19 is considered as the biggest global health disaster in the 21st cen...
BACKGROUND: The COVID-19 pandemic has inflicted global devastation, infecting over 750 million and c...
Long COVID can develop in individuals who have had COVID-19, regardless of the severity of their in...
Plant-parasitic nematodes (PPNs) are a significant threat to agriculture, causing substantial crop l...
OBJECTIVES: To investigate whether a content-based image retrieval (CBIR) of similar chest CT images...
BACKGROUND: The global targets for HIV testing for achieving the Joint United Nations Programme on H...
INTRODUCTION: Epidemic modeling is crucial for understanding and predicting infectious disease sprea...
Fungi can cause devastating invasive infections, typically in immunocompromised patients. Treatment ...
The marine ecosystems of the Svalbard archipelago are now propelled towards a new climatic state owi...
Insecticide-treated nets (ITNs) remain a critical intervention in controlling malaria transmission, ...
BACKGROUND: Lipomyces starkeyi is an oleaginous yeast with a native metabolism well-suited for produ...
Nuclear export protein 1, also known as XPO1, plays a crucial role in cellular homeostasis and assis...
OBJECTIVE: The purpose of this study was to use machine learning models to predict the risk of hyper...
PURPOSE: Streptococcus pneumoniae is an important human pathogen and its virulence is centered on th...
INTRODUCTION: There are significant challenges remain in accurately categorizing the risk of severe ...
OBJECTIVE: This study aimed to develop a predictive model for secondary infections in patients with ...
Following the initial publication [...].
High-speed and accuracy identification of pathogens has become increasingly critical in both individ...