Infectious Disease

Hepatitis

Latest AI and machine learning research in hepatitis for healthcare professionals.

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Comparing the performance of 3 bioaerosol samplers for influenza virus.

Respiratory viral diseases can be spread when a virus-containing particle (droplet) from one individ...

Use of Mac-2 binding protein as a biomarker for nonalcoholic fatty liver disease diagnosis.

In contrast to patients with viral hepatitis, patients with nonalcoholic fatty liver disease (NAFLD)...

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 g...

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. C...

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...

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 hepatit...

Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning.

Cardiac indices estimation is of great importance during identification and diagnosis of cardiac dis...

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 ...

Predicting electronic structure properties of transition metal complexes with neural networks.

High-throughput computational screening has emerged as a critical component of materials discovery. ...

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

BACKGROUND: Hepatocellular carcinoma has a growing incidence worldwide, and represents a leading cau...

Model-enabled gene search (MEGS) allows fast and direct discovery of enzymatic and transport gene functions in the marine bacterium .

Whereas genomes can be rapidly sequenced, the functions of many genes are incompletely or erroneousl...

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 als...

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 patie...

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...

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 ...

A benchtop biorobotic platform for in vitro observation of muscle-tendon dynamics with parallel mechanical assistance from an elastic exoskeleton.

We present a novel biorobotic framework comprised of a biological muscle-tendon unit (MTU) mechanica...

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 ...

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 am...

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 a...

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