Latest AI and machine learning research in infectious disease for healthcare professionals.
INTRODUCTION: The COVID-19 pandemic and liver diseases both cause significant metabolic disturbances, yet the specific mechanisms driving these changes remain poorly understood. OBJECTIVES: This study aimed to elucidate and compare the urinary metabolomic profiles of COVID-19 patients, individuals with liver diseases, and healthy controls to determine common and unique metabolic signatures between...
Deep learning-based methods for drug target binding affinity (DTA) prediction are improving the efficien cy of drug screening, but some limitations persist in current methodologies. Notably, prevailing models predominantly rely on static structural data while neglecting the conformational dynamics of drug target complexes, which compromises their capacity to discern subtle conformation dependent a...
INTRODUCTION: Although sepsis and other severe infections in intensive care are common and deadly, obtaining safe and effective exposure for vancomyci...
BACKGROUND: Acute lung injury (ALI) involves the release of growth factors and inflammatory mediators from damaged pulmonary tissues, fostering endoth...
BACKGROUND: COVID-19 can have diverse clinical manifestations, ranging from asymptomatic infection to critical illness with multiorgan involvement. Wh...
BACKGROUND: Radiation pneumonitis (RP) is a serious complication in lung cancer patients with pre-existing interstitial lung disease (ILD) undergoing ...
BACKGROUND: Early screening during outbreaks of acute respiratory infections (ARIs) is critical for controlling disease spread among international tra...
Tuberculosis (TB), a global infectious disease, poses a formidable challenge to Taiwan, China, exacerbated by its aging demographic and the incursion ...
Rabies disease is the deadliest of all virus infections. Till now, vaccination is the most effective and reliable treatment for controlling rabies. Ho...
BACKGROUND AND AIMS: Although combination antiretroviral therapy has decreased morbidity and mortality in people living with HIV (PLWH), the prevalenc...
BACKGROUND: Emerging evidence indicates that SARS-CoV-2 infection is associated with aging, particularly in memory-related domains. However, the molec...
In vivo CAR-T cell generation represents a paradigm shift in immunotherapy by transitioning the production of chimeric antigen receptor (CAR) T cells ...
INTRODUCTION: Visual aids that simulate personalized postoperative outcomes following breast reconstruction may facilitate shared decision-making and ...
BACKGROUND: Cardiovascular dysfunction in sepsis is heterogeneous and contributes to poor outcomes. Hemodynamic phenotyping may delineate pathophysiol...
Endothelial dysfunction is an important risk factor for the progression of sepsis. The simplified endothelial activation and stress index (s-EASIX) se...
Infectious diseases pose a critical global health threat, and rapid and sensitive diagnostics are essential for effective intervention. Conventional m...
On August 5, 2024, the Brown County (Illinois) Health Department (BCHD) was informed by the county sheriff that numerous potential jurors being screen...
In the field of orthodontics, the degree of fusion of the midpalatal suture (MPS) is a crucial factor in determining the most appropriate maxillary ex...
Soil Transmitted Helminthiases (STH) are among the most common neglected tropical diseases in Nigeria, primarily transmitted through soil contaminated...
Computational blind challenges offer critical, unbiased opportunities to assess and accelerate scientific progress, as demonstrated by a breadth of br...