Latest AI and machine learning research in hepatitis for healthcare professionals.
Dynamic positron emission tomography (PET) imaging can provide information about metabolic changes o...
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...
OBJECTIVE: To investigate the applicability of supervised machine learning (SML) to classify health-...
The emergence of viral epidemics throughout the world is of concern due to the scarcity of available...
Chronic liver disease (CLD) is currently one of the major causes of death worldwide. If not treated,...
Both researchers and practitioners often rely on direct observation to measure and monitor behavior....
IMPORTANCE: Human papillomavirus (HPV) vaccine hesitancy or refusal is common among parents of adole...
IMPORTANCE: Machine-learning algorithms offer better predictive accuracy than traditional prognostic...
OBJECTIVES: Deep learning enables an automated liver and spleen volume measurements on CT. The purpo...
PURPOSE: To develop a convolutional neural network (CNN) that can directly estimate material density...
Providing accurate utilization forecasts is key to maintaining optimal vaccine stocks in any health ...
The COVID-19 pandemic has created unique challenges for the U.S. healthcare system due to the stagge...
Recent advances in flexible materials and wearable electronics offer a noninvasive, high-fidelity re...
Neuroinflammation is associated with neuronal cell death and could lead to chronic neurodegeneration...
Covid-19 is a rapidly spreading viral disease that infects not only humans, but animals are also inf...
The use of imaging data has been reported to be useful for rapid diagnosis of COVID-19. Although com...
We review progress in neural network (NN)-based methods for the construction of interatomic potentia...
The number of patients affected by chronic diseases with special vaccination needs is burgeoning. In...
A model that predicts levels of coronavirus (CoV) respiratory and fecal-oral transmission potentials...
BACKGROUND: The efficacy of nucleot(s)ide analogs (NAs) and pegylated interferon (PegIFN) combinatio...