Latest AI and machine learning research in sepsis for healthcare professionals.
HIV molecular epidemiology estimates the transmission patterns from clustering genetically similar v...
Since the variables inherent to various diseases cannot be controlled directly in humans, behavioral...
A 34-year-old woman with a history of congenital hypothyroidism and 15 years of obstructive sleep ap...
Mishandling of antibiotics often leads to the development of multiple drug resistance (MDR) among mi...
BACKGROUND AND AIM: The impact of chronic hepatitis B virus (HBV) infection and nucleos(t)ide analog...
By targeting invasive organisms, antibiotics insert themselves into the ancient struggle of the host...
The study was designed to determine the impact of acute toxicity of fumaronitrile exposure through t...
Soil-transmitted helminths (STH) are the most prevalent pathogens among the group of neglected tropi...
BACKGROUND AND OBJECTIVES: Sepsis is a severe infection that increases mortality risk and is one if ...
antibiotic susceptibility testing often fails to accurately predict drug efficacies, in part due t...
Genetics play an important role in opioid use disorder (OUD); however, few specific gene variants ha...
Structural modifications of known antibiotic scaffolds have kept the upper hand on resistance, but w...
The epidemic increase in the incidence of Human Papilloma Virus (HPV) related Oropharyngeal Squamous...
We report a case of multiple brain abscesses' puncture, employing the ROSAâ„¢ Brain surgical robot (Zi...
Sepsis is a life-threatening condition and understanding the disease pathophysiology through the use...
The infection of an avian malaria parasite (Plasmodium gallinaceum) in domestic chickens presents a ...
For an emerging disease like COVID-19, systems immunology tools may quickly identify and quantitativ...
Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes coronavirus ...
BACKGROUND: Antimicrobial peptides (AMPs) are oligopeptides that act as crucial components of innate...
BACKGROUND: Self-reported symptoms during the COVID-19 pandemic have been used to train artificial i...
COVID-19 has widely spread around the world, impacting the health systems of several countries in ad...