Infectious Disease

Hepatitis

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

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Acute Retroviral Syndrome Presenting as Acute Hepatitis.

Acute retroviral syndrome (ARS) can present as a wide array of clinical manifestations. Establishing...

Elevated α-Fetoprotein in the Absence of Carcinoma Caused by Relapse of Hepatitis C Viral Infection after Liver Transplantation.

We report a rare case of marked elevation of α-fetoprotein in the absence of hepatocellular carcinom...

Exploring Alternative Strategies for the Identification of Potent Compounds Using Support Vector Machine and Regression Modeling.

Support vector regression (SVR) is a premier approach for the prediction of compound potency. Given ...

Structured illumination microscopy combined with machine learning enables the high throughput analysis and classification of virus structure.

Optical super-resolution microscopy techniques enable high molecular specificity with high spatial r...

Functional expression of porcine interferon-α using a combinational strategy in Pichia pastoris GS115.

Porcine interferon-α (pIFN-α) could be used as the vaccine adjuvant to enhance the antiviral ability...

Application of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients.

Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. N...

CbpM and CbpG of Streptococcus Pneumoniae Elicit a High Protection in Mice Challenged with a Serotype 19F Pneumococcus.

Among many pneumococcal antigens, choline-binding proteins (CPBs) display a high immunogenicity in a...

Immunogenicity of Concentrated and Purified Inactivated Avian Influenza Vaccine Formulation.

Avian influenza (AI) H9N2 is a low pathogenic virus subtype belonging to Orthomyxoviridae family. Gi...

Identification of Immune Signatures of Novel Adjuvant Formulations Using Machine Learning.

Adjuvants have long been critical components of vaccines, but the exact mechanisms of their action a...

Machine learning methods for leveraging baseline covariate information to improve the efficiency of clinical trials.

Clinical trials are widely considered the gold standard for treatment evaluation, and they can be hi...

Computational discovery of direct associations between GO terms and protein domains.

BACKGROUND: Families of related proteins and their different functions may be described systematical...

Ritonavir-boosted paritaprevir, ombitasvir plus ribavirin could improve eGFR in patients with renal impairment and HCV: an Egyptian cohort.

BACKGROUND: The present study aimed at evaluation of changes in estimated glomerular filtration rate...

Direct Segmentation-Based Full Quantification for Left Ventricle via Deep Multi-Task Regression Learning Network.

Quantitative analysis of the heart is extremely necessary and significant for detecting and diagnosi...

Pathogen Identification Direct From Polymicrobial Specimens Using Membrane Glycolipids.

With the increased prevalence of multidrug-resistant Gram-negative bacteria, the use of colistin and...

A fully convolutional two-stream fusion network for interactive image segmentation.

In this paper, we propose a novel fully convolutional two-stream fusion network (FCTSFN) for interac...

[Hepatitis B and renal failure: prevalence and associated factors in National University Hospital Center of Cotonou].

INTRODUCTION: the association between the kidneys and hepatitis B is complex. This study aims to det...

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma.

Intra-arterial therapies are the standard of care for patients with hepatocellular carcinoma who can...

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