Latest AI and machine learning research in universal precautions for healthcare professionals.
The present study aimed to assess the repurposing potential of existing antiviral drug candidates (F...
Automatic sigmoid colon segmentation in CT for radiotherapy treatment planning is challenging due to...
OBJECTIVES: , CB Clarke () is a perennial herb of the Compositae family. The root of has been used ...
INTRODUCTION: Hepatitis C Virus (HCV) is highly infectious with no currently available vaccine. Prio...
Persons who inject drugs (PWID) are at increased risk for overdose death (ODD), infections with HIV,...
We introduce Post-DAE, a post-processing method based on denoising autoencoders (DAE) to improve the...
Subunit vaccines induce immunity to a pathogen by presenting a component of the pathogen and thus in...
The presence of confounding effects (or biases) is one of the most critical challenges in using deep...
OBJECTIVE: The aim of this study was to evaluate the influence of viral load and lymphocyte count on...
Hepatitis B virus (HBV) infects the liver, causing cirrhosis and cancer. In developed countries, fiv...
Previously, our group predicted commercially available Food and Drug Administration (FDA) approved d...
The fungal pathogen , is a serious threat to public health and is associated with bloodstream infec...
Multi-needle localization in ultrasound (US) images is a crucial step of treatment planning for US-g...
While the Food Safety Modernization Act established standards for the use of surface water for produ...
The number of patients affected by chronic diseases with special vaccination needs is burgeoning. In...
BACKGROUND: The efficacy of nucleot(s)ide analogs (NAs) and pegylated interferon (PegIFN) combinatio...
BACKGROUND AND OBJECTIVE: Virus identification in electron microscopy (EM) images is considered as o...
Coronaviruses infect many animals, including humans, due to interspecies transmission. Three of the ...
The segmentation of neoplasms is an important part of radiotherapy treatment planning, monitoring di...
BACKGROUND: Accurate and reliable predictions of infectious disease can be valuable to public health...
The use of deep neural networks (DNNs) for analysis of complex biomedical images shows great promise...