Latest AI and machine learning research in hepatitis for healthcare professionals.
BACKGROUND: Hemodialysis (HD) patients are a vulnerable population at high risk for severe complicat...
Surface-enhanced Raman scattering (SERS) has evolved into a robust analytical technique capable of d...
BACKGROUND/AIMS: The prediction of clinical outcomes in patients with chronic hepatitis B (CHB) is p...
Viruses constitute a constant threat to global health and have caused millions of human and animal d...
As the global population rapidly ages with longer life expectancy and declining birth rates, the nee...
An alarming number of fatalities caused by the COVID-19 pandemic has forced the scientific community...
Chronic hepatitis B virus (HBV) infection affects about 262 million people worldwide, leading to ove...
The latest variant of coronavirus is omicron. The World Health Organization (WHO) designated variati...
The recent outbreak of Corona Virus Disease 2019 (COVID-19) caused by severe acute respiratory syndr...
Anemia coexisting with Gaucher disease (GD) is often associated with non-hemolytic processes. Few ca...
Direct-optimization-based dictionary learning has attracted increasing attention for improving compu...
According to data from the U.S. Center for Disease Control and Prevention, as of June 2020, a signif...
Despite the proven safety and clinical efficacy of the Measles vaccine, many countries are seeing ne...
DCAF1 functions as a substrate recruitment subunit for the RING-type CRL4 and the HECT family EDVP E...
A plaque assay-the gold-standard method for measuring the concentration of replication-competent lyt...
Unrecognized deterioration of COVID-19 patients can lead to high morbidity and mortality. Most exist...
The relentless evolution of SARS-CoV-2 poses a significant threat to public health, as it adapts to ...
In this article we study the effect of a baseline exposure on a terminal time-to-event outcome eithe...
Monkeypox virus (MPXV) outbreak is a serious public health concern that requires international atten...
To develop a combinatorial artificial-neural-network design-of-experiment (ANN-DOE) model, the effec...
In this proof-of-principle study, we systematically studied the potential of Raman spectroscopy for ...