Latest AI and machine learning research in universal precautions for healthcare professionals.
BACKGROUND: The infection for the hepatitis C virus (HCV) is a leading cause of liver-related morbidity and mortality through its evolution to liver cirrhosis, end-stage liver complications and hepatocellular carcinoma. Currently, the new drugs for the HCV infection, based on direct antiviral agents, have changed the outcomes in this setting.
PURPOSE: Globally, transgender women (TGW) experience a high burden of adverse health outcomes, including a high prevalence of HIV and sexually transmitted infections (STIs) as well as psychiatric disorders and substance use disorders. To address gaps in HIV research in Peru focused specifically on TGW, this study presents characteristics of a sample of HIV-positive TGW and identifies factors asso...
AIM: To determine whether ribavirin (RBV) concentrations differ according to cirrhosis stage among cirrhotic patients treated with interferon-free reg...
Hepatitis C virus (HCV) is a significant health threat that has been extensively investigated worldwide. Improving the sensitivity and specificity of ...
To characterize long-term nonprogressors (LTNPs) and viremia controllers (VCs), infected with HIV-1 through contaminated blood donation or transfusion...
INTRODUCTION: Hemolytic uremic syndrome (HUS) in Human Immunodeficiency Virus (HIV)-positive patients has become a rare cause of kidney injury since t...
RATIONALE: A 62-year-old male patient was admitted to our clinic in February 2016 with persistently elevated liver enzymes.
is a potential pathogen contaminating raw milk and dairy products, where it is able to produce thermostable enterotoxins that can cause staphylococca...
Determining the factors modulating the genetic diversity of HIV-1 populations is essential to understand viral evolution. This study analyzes the rela...
OBJECTIVE: To develop automated classification methods for eligibility criteria in ClinicalTrials.gov to facilitate patient-trial matching for specifi...
The ability of robotic rehabilitation devices to support paralysed end-users is ultimately limited by the degree to which human-machine-interaction is...
HIV testing is the foundation for consolidated HIV treatment and prevention. In this study, we aim to discover the most relevant variables for predict...
INTRODUCTION: "Social big data" from technologies such as social media, wearable devices, and online searches continue to grow and can be used as tool...
BACKGROUND: One key step in the development of inhibitors for an enzyme is the application of computational methodologies to predict protein-ligand in...
INTRODUCTION: Pediatric antiretroviral therapy (ART), changed the prognosis of the disease, allowing young women infected by vertical transmission (TV...
BACKGROUND: High-mobility group box 1 (HMGB1), a DNA-binding protein, has recently been shown to have effects on HIV replication, but the effects are ...
A six sigma fishbone analysis approach was used to develop a machine learning model in SAS, Version 9.4, by using stepwise linear regression. The mode...
BACKGROUND: Few studies have assessed the effect of socioeconomic status on HIV treatment outcomes in settings with universal access to health care. H...
Peptides derived from HIV-1 transmembrane proteins have been extensively studied for antimicrobial activities, and they are known as antimicrobial pep...
INTRODUCTION: Red Salud UC is an Academic health network where HIV-infected patients from the public and private health system are followed by a multi...