Latest AI and machine learning research in infectious disease for healthcare professionals.
BACKGROUND: The indoor environment has been implicated as a critical factor in the development of allergic diseases. However, the interplay among indoor microbiota, metabolites, and other environmental chemicals in relation to childhood allergic rhinitis (AR) remains underexplored, particularly in subtropical regions. This study investigates the joint associations of multi-omics profiles in classr...
BACKGROUND: The homeless population in Bogotá exhibits complex social and health vulnerabilities, with a high prevalence of chronic and communicable diseases such as hypertension, diabetes, tuberculosis, HIV/AIDS, and cancer. These conditions hinder epidemiological surveillance and timely public health decision-making, particularly in contexts of social exclusion. OBJECTIVE: To develop and evaluat...
In patients with hematological disorders, the high risk of complex infections caused by immune dysfunction and intensive therapies poses a major chall...
Cyanobacteria, among the most ancient and versatile microorganisms on Earth, thrive across different aquatic ecosystems, ranging from freshwater to ma...
Postoperative pulmonary infection (PPI) after esophageal cancer surgery occurs frequently and severely impairs patients' prognosis. Most existing pred...
In the diagnosis of pediatric pneumonia, the weak conductivity contrast of lung tissues leads to limited image resolution in electrical impedance tomo...
Cancer is an ongoing severe health complication and public health concern. Efforts have been made to overcome this; however, the emergence of multidru...
Zearalenone (ZEN) is a naturally occurring environmental contaminant that is produced by fungi. Developing animals are particularly sensitive to ZEN, ...
OBJECTIVES: To synthesize evidence on the application of artificial intelligence (AI) and machine learning (ML) for mosquito-borne disease (MBD) contr...
INTRODUCTION: Enteric bacterial pathogens are a major cause of diarrhoeal disease in low-income and middle-income countries, with complex transmission...
INTRODUCTION: Falls are a significant concern for older adults, particularly those with neurological, vestibular, cognitive and post-viral conditions,...
BACKGROUND: To develop and validate a deep learning (DL) model based on feature fusion with B-mode ultrasound (BMUS) and contrast enhanced ultrasound ...
Image processing plays a vital role in precision agriculture by enabling automated disease detection and crop health monitoring. This research present...
This paper develops a fractional-order HBV epidemic model using the Atangana-Baleanu-Caputo (ABC) fractional derivative with a nonsingular Mittag-Leff...
Chemical graph theory facilitates the understanding of the complex structure of molecules. Researchers can achieve a thorough understanding of the phy...
BACKGROUND: Chronic liver disease (CLD) and its progression to compensated cirrhosis (CC), decompensated cirrhosis (DC), and acute-on-chronic liver fa...
BACKGROUND: Aortic dissection (AD) is a life-threatening cardiovascular emergency characterized by high acute mortality. While immune dysregulation is...
MgtE channels play crucial roles in Mg 2 + homeostasis and are implicated in bacterial survival under antibiotic exposure. Previous structural and bio...
Antibody polyreactivity, which is characterized by broad, low-affinity off-target binding, is an undesirable drug property associated with rapid clear...
Sepsis remains one of the leading causes of mortality in adult critical care, representing a dysregulated host response to infection. Despite advances...