Latest AI and machine learning research in infectious disease for healthcare professionals.
OBJECTIVE: The 2025 measles outbreak in Mexico (5741 cases) marked a severe decline in immunization ...
BACKGROUND: Severity scoring systems are increasingly important tools for stratifying hospitalised p...
BACKGROUND: Emerging evidence has highlighted a potential link between chronic rhinosinusitis with n...
INTRODUCTION: The CRISPR/Cas system has emerged as a highly versatile platform for diagnosing infect...
The unprecedented success of mRNA vaccines during the COVID-19 pandemic has accelerated the developm...
BACKGROUND AND OBJECTIVE: High resolution computed tomography (HRCT) scan diagnostic classification ...
Sepsis, a life-threatening condition triggered by dysregulated host response to infection, poses sig...
Antimicrobial resistance in Klebsiella pneumoniae poses a major clinical challenge, driving developm...
Accurate, non-invasive liver fibrosis detection is essential for chronic liver disease management, p...
Digital solutions are essential for eliminating tuberculosis as a public health problem. They can be...
UNLABELLED: Neutropenic fever (NF) is often the first sign of infection in patients with hematologic...
AbstractNeurosyphilis continues to rise globally, yet diagnosis remains challenging, often requiring...
The dynamic mutational landscape of SARS-CoV-2, especially within the spike glycoprotein's RBD, cont...
The application of artificial intelligence (AI) in clinical diagnostics has shown substantial potent...
This paper proposes a complex-valued proximal neural network (CPNN) method for solving complex-value...
OBJECTIVES: Forecasting the effective reproductive number (Rt) and infection case counts is critical...
Emerging evidence suggests that diabetes mellitus (DM) is not only a metabolic disorder but also a m...
OBJECTIVES: To assess the Transformer-based Swin2SR model for super-resolution (SR) enhancement of l...
BACKGROUND: Bronchiectasis is a chronic neutrophilic respiratory disease frequently complicated by P...
Guided by the pharmacophore-oriented molecular generation platform PhoreGen, we employed rilpivirine...