Infectious Disease

Hepatitis

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

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Effects of aged garlic extract on arterial elasticity in a placebo-controlled clinical trial using EndoPATâ„¢ technology.

Cardiovascular diseases are the main cause of death in the industrialized world, with the main risk ...

Machine-learning based patient classification using Hepatitis B virus full-length genome quasispecies from Asian and European cohorts.

Chronic infection with Hepatitis B virus (HBV) is a major risk factor for the development of advance...

Body Composition Analysis of Computed Tomography Scans in Clinical Populations: The Role of Deep Learning.

BACKGROUND: Body composition is increasingly being recognized as an important prognostic factor for ...

Immunogenicity and safety of a 12-valent pneumococcal conjugate vaccine in infants aged 6-10 weeks: a randomized double-blind active-controlled trial.

BACKGROUND: Pneumococcal diseases among children aged <5 years worldwide are associated with high an...

The use of natural language processing to identify vaccine-related anaphylaxis at five health care systems in the Vaccine Safety Datalink.

PURPOSE: The objective was to develop a natural language processing (NLP) algorithm to identify vacc...

Verification with the utility of an established rapid assessment of brain safety for newly developed vaccines.

In the twenty-first century, high contagious infectious diseases such as SARS (Severe Acute Respirat...

Predictors, Presentation, and Treatment Outcomes of Recurrent Hepatocellular Carcinoma After Liver Transplantation: A Large Single Center Experience.

BACKGROUND: Liver transplantation (LT) is an accepted therapeutic option for hepatocellular carcinom...

Global Mittag-Leffler stability and synchronization of discrete-time fractional-order complex-valued neural networks with time delay.

Without decomposing complex-valued systems into real-valued systems, this paper investigates existen...

Detecting liver fibrosis using a machine learning-based approach to the quantification of the heart-induced deformation in tagged MR images.

Liver disease causes millions of deaths per year worldwide, and approximately half of these cases ar...

Formulation of Direct Compression Zidovudine Tablets to Correlate the SeDeM Diagram Expert System and the Rotary Press Simulator Styl'ONE Results.

The SeDeM diagram expert system has been applied to study Zidovudine and some excipients. From the o...

Effect of rapeseed oil aromatisation with marjoram on the content of volatile fraction and antioxidant properties.

The aim of the paper was to study how the process of aromatisation with marjoram affected the compos...

Non-invasive diagnosis of non-alcoholic steatohepatitis and fibrosis with the use of omics and supervised learning: A proof of concept study.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 25-30% of the general population and i...

Peptide arrays incubated with three collections of human sera from patients infected with mosquito-borne viruses.

Global outbreaks caused by emerging or re-emerging arthropod-borne viruses (arboviruses) are becomi...

Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study.

BACKGROUND: Tools used to appraise the credibility of health information are time-consuming to apply...

Hepatitis B surface antigen reduction as a result of switching from long-term entecavir administration to tenofovir.

BACKGROUND AND AIM: Loss of hepatitis B surface antigen (HBsAg) is an important goal in the treatmen...

The FluPRINT dataset, a multidimensional analysis of the influenza vaccine imprint on the immune system.

Machine learning has the potential to identify novel biological factors underlying successful antibo...

Generalizability of machine learning for classification of schizophrenia based on resting-state functional MRI data.

Machine learning has increasingly been applied to classification of schizophrenia in neuroimaging re...

Correlation-Based Ensemble Feature Selection Using Bioinspired Algorithms and Classification Using Backpropagation Neural Network.

A framework for clinical diagnosis which uses bioinspired algorithms for feature selection and gradi...

The complement system in liver diseases: Evidence-based approach and therapeutic options.

Complement is usually seen to largely originate from the liver to accomplish its tasks systemically ...

Robotic direct reading device with spatial, temporal, and PID sensors for laboratory VOC exposure assessment.

This study evaluated a novel robotic direct reading method that used a real-time location system to ...

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