Latest AI and machine learning research in hepatitis for healthcare professionals.
Identification of microRNA (miRNA) precursors has seen increased efforts in recent years. The difficulty in experimental detection of pre-miRNAs increased the usage of computational approaches. Most of these approaches rely on machine learning especially classification. In order to achieve successful classification, many parameters need to be considered such as data quality, choice of classifier s...
Originally isolated from swine, the proposed influenza D virus has since been shown to be common in cattle. Inoculation of IDV to naïve calves resulted in mild respiratory disease histologically characterized by tracheitis. As several studies have associated the presence of IDV with acute bovine respiratory disease (BRD), we sought to investigate the efficacy of an inactivated IDV vaccine. Vaccina...
Lymphopenic conditions lead to expansion of memory-like T cells (T), which develop from naïve T cells by spontaneous proliferation. T cells are often ...
Limited availability of Indian rhesus macaques (IRM) is a bottleneck to study Zika virus (ZIKV) pathogenesis and evaluation of appropriate control mea...
BACKGROUND: Studies in patients with decompensated cirrhosis showed a correlation between serum ferritin levels and patients' prognosis. Besides, red ...
Patients with cirrhosis used to be associated with frequent use of blood components because of their complex disorder of hemostasis and bleeding compl...
BACKGROUND AND OBJECTIVE: Collagen proportional area (CPA) extraction in liver biopsy images provides the degree of fibrosis expansion in liver tissue...
The underlying mechanism of non-ionic iodinated contrast media-related immediate reactions was evaluated in this study. Patients presenting at least g...
The Hepatitis B vaccine is highly effective for the prevention of hepatitis B (HBV) infection. We report the development of chronic HBV infection (Gen...
BACKGROUND: Temporary abdominal closure (TAC) may be performed for cirrhotic patients undergoing emergent laparotomy. The effects of cirrhosis on phys...
In our study, the development of amino functionalized carbon coated magnetic nanoparticles (NH-CC-MNPs) and their usage for electrochemical detection ...
OBJECTIVE: This study aims at developing and introducing a new algorithm, called direct causal learner (DCL), for learning the direct causal influence...
This study describes the NMR-based method to determine the limit of quantitation (LOQ) and limit of detection (LOD) of cholesterol, a process-related ...
The lack of haptic feedback in robotics-assisted surgery can result in tissue damage or accidental tool-tissue hits. This paper focuses on exploring t...
BACKGROUND: L (Asteraceae), is one of the most attractive plants growing wildly in Sinai, and is not well investigated for its phytochemical constitu...
BACKGROUND: Tenofovir alafenamide is a novel prodrug formulated to deliver the active metabolite to target cells more efficiently than tenofovir disop...
BACKGROUND: The novel prodrug tenofovir alafenamide delivers the nucleotide reverse transcriptase inhibitor tenofovir to target cells more efficiently...
Big Data is having an impact on many areas of research, not the least of which is biomedical science. In this review paper, big data and machine learn...
The interaction of virus proteins with host proteins plays a key role in viral infection and consequent pathogenesis. Many computational methods have ...
A series of 1-(1'-hydroxyalkyl)rupestonic acid methyl esters were synthesized via the condensation of methyl rupestonate with various aldehydes in the...