Hepatitis

Identification of immune correlates of protection in Shigella infection by application of machine learning.

BACKGROUND: Immunologic correlates of protection are important in vaccine development because they give insight into mechanisms of protection, assist in the identification of promising vaccine candidates, and serve as endpoints in bridging clinical vaccine studies. Our goal is the development of a methodology to identify immunologic correlates of protection using the Shigella challenge as a model.

Machine-learning-based classification of real-time tissue elastography for hepatic fibrosis in patients with chronic hepatitis B.

Hepatic fibrosis is a common middle stage of the pathological processes of chronic liver diseases. Clinical intervention during the early stages of hepatic fibrosis can slow the development of liver cirrhosis and reduce the risk of developing liver cancer. Performing a liver biopsy, the gold standard for viral liver disease management, has drawbacks such as invasiveness and a relatively high sampl...

Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data.

BACKGROUND: As one of the serious public health issues, vaccination refusal has been attracting more and more attention, especially for newly approved...

Long-term survival after surveillance and treatment in patients with chronic viral hepatitis and hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the main cause of mortality in patients with chronic viral hepatitis (CVH). We determined the impact of surveillance...

Pharmacokinetics and pharmacodynamics modeling of lonafarnib in patients with chronic hepatitis delta virus infection.

The prenylation inhibitor lonafarnib (LNF) is a potent antiviral agent providing a breakthrough for the treatment of hepatitis delta virus (HDV). The ...

Laparoscopic versus robotic surgery for hepatocellular carcinoma: the first 46 consecutive cases.

BACKGROUND: Hepatocellular carcinoma has a growing incidence worldwide, and represents a leading cause of death in patients with cirrhosis. Nowadays, ...

QSAR studies of the bioactivity of hepatitis C virus (HCV) NS3/4A protease inhibitors by multiple linear regression (MLR) and support vector machine (SVM).

In this study, quantitative structure-activity relationship (QSAR) models using various descriptor sets and training/test set selection methods were e...

Anti-inflammatory effect of cinnamaldehyde and linalool from the leaf essential oil of Cinnamomum osmophloeum Kanehira in endotoxin-induced mice.

Cinnamomum osmophloeum Kanehira is a Taiwan native plant that belongs to genus Cinnamomum and is also known as pseudocinnamomum or indigenous cinnamon...

Hepatitis B reactivation in psoriasis patients treated with anti-TNF agents: prevention and management.

The risk of hepatitis B virus (HBV) reactivation (HBVr) in chronic HBV carriers, in occult HBV patients or in acute HBV patients affected by psoriasis...

Orthosiphon pallidus, a Potential Treatment for Patients with Breast Cancer.

OBJECTIVE: , which belongs to the family, is a popular garden plant that is widely used for the treatment of various diseases, such as urinary lithia...

Comparison of Machine Learning Approaches for Prediction of Advanced Liver Fibrosis in Chronic Hepatitis C Patients.

BACKGROUND/AIM: Using machine learning approaches as non-invasive methods have been used recently as an alternative method in staging chronic liver di...

Chromatoprobe as a sample-sparing technique for residual solvent analysis of drug discovery candidates by gas chromatography.

In drug discovery research, residual solvent measurement is an integral part of purity analysis for synthesis of a drug candidate before it is used fo...

Ontology-based literature mining of E. coli vaccine-associated gene interaction networks.

BACKGROUND: Pathogenic Escherichia coli infections cause various diseases in humans and many animal species. However, with extensive E. coli vaccine r...

Machine Learning of Global Phosphoproteomic Profiles Enables Discrimination of Direct versus Indirect Kinase Substrates.

Mass spectrometry allows quantification of tens of thousands of phosphorylation sites from minute amounts of cellular material. Despite this wealth of...

Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets.

BACKGROUND: Analysing public opinions on HPV vaccines on social media using machine learning based approaches will help us understand the reasons behi...

Enhancing the Biological Relevance of Machine Learning Classifiers for Reverse Vaccinology.

Reverse vaccinology (RV) is a bioinformatics approach that can predict antigens with protective potential from the protein coding genomes of bacterial...

Induction of Fas-Mediated Apoptosis by Interferon-γ is Dependent on Granulosa Cell Differentiation and Follicular Maturation in the Rat Ovary.

Fas ligand (FasL) and its receptor Fas have been implicated in granulosa cell apoptosis during follicular atresia. Although interferon-gamma (IFN-γ) i...

An ultrasensitive sandwich-type electrochemical immunosensor based on the signal amplification system of double-deck gold film and thionine unite with platinum nanowire inlaid globular SBA-15 microsphere.

A novel thionine unites with platinum nanowire inlaid globular SBA-15 (Pt NWs@g-SBA-15/Thi) not only utilizes as an efficient electrical signal probe ...

Anticancer and anti-inflammatory activities of girinimbine isolated from .

Therapy that directly targets apoptosis and/or inflammation could be highly effective for the treatment of cancer. is an edible herb that has been tr...

A Time to Pause and Reflect: When a Patient with Autoimmune Hepatitis Stops Responding to Corticosteroids.

Drug-induced liver injury (DILI) with features of autoimmunity (AI) is a challenging diagnosis to make particularly due to its apparent corticosteroid...