Latest AI and machine learning research in infectious disease for healthcare professionals.
OBJECTIVE: To develop and validate interpretable machine learning (ML) survival models for predictin...
Understanding gene expression is crucial for optimizing biological processes in bioeconomic processe...
Budding yeast Saccharomyces cerevisiae and various non-conventional species are widely applied in th...
Existing studies on prognostic prediction for multidrug-resistant organisms (MDROs) are limited by s...
Neoantigens are tumor-specific antigens resulting from genetic, transcriptomic, and proteomic change...
OBJECTIVES: Evaluate whether general-purpose large language models (LLMs) demonstrate competencies s...
Aedes aegypti is a major vector of arboviral diseases, including dengue, Zika, and chikungunya, posi...
BACKGROUND: Surgical site outcome (SSO) reporting lacks details of management, focuses on infection,...
Accurate bacterial identification and antimicrobial susceptibility testing (AST) are essential for t...
The escalating prevalence of multidrug-resistant bacterial infections presents a grave global health...
Yu Xue: [email protected] Large-scale multiomics profiling has delineated dynamic molecular landscap...
Clinical symptoms are critical for diagnosing and managing upper respiratory tract infections, yet s...
Sepsis remains a leading cause of mortality in intensive care units worldwide, a challenge exacerbat...
The intensification of worldwide urbanization and industrial growth has led to a rise in the release...
Dengue remains a major public health problem in endemic regions, including Bangladesh. Forecasting a...
BACKGROUND: Since the emergence of the COVID-19 pandemic, co-infection with COVID-19 and influenza h...
The escalating global crisis of antimicrobial resistance (AMR) poses a severe threat to public healt...
Quantitative prediction of antibacterial activity in green-synthesized silver nanoparticles (AgNPs) ...
BACKGROUND: Cohort selection criteria play a critical role in shaping machine learning (ML) model pe...
OBJECTIVES: To compare the diagnostic performance of three multimodal AI chatbots on oral and maxill...
Membrane molecular recognition features (MemMoRFs) are lipid-binding intrinsically disordered region...