Infectious Disease

Hepatitis

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

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Evolutionary artificial intelligence based peptide discoveries for effective Covid-19 therapeutics.

An epidemic caused by COVID-19 in China turned into pandemic within a short duration affecting count...

Alcoholic liver disease: A registry view on comorbidities and disease prediction.

Alcoholic-related liver disease (ALD) is the cause of more than half of all liver-related deaths. Su...

Prediction of hepatitis E using machine learning models.

BACKGROUND: Accurate and reliable predictions of infectious disease can be valuable to public health...

Evaluation of the Classification Accuracy of the Kidney Biopsy Direct Immunofluorescence through Convolutional Neural Networks.

BACKGROUND AND OBJECTIVES: Immunohistopathology is an essential technique in the diagnostic workflow...

Molecular barcoding of native RNAs using nanopore sequencing and deep learning.

Nanopore sequencing enables direct measurement of RNA molecules without conversion to cDNA, thus ope...

Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy.

Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a difficult and time-...

Hydroxyl Radical Generation Through the Fenton-Like Reaction of Hematin- and Catechol-Functionalized Microgels.

Hydroxyl radical (OH) is a potent reactive oxygen species with the ability to degrade hazardous orga...

Assessment of a Deep Learning Model to Predict Hepatocellular Carcinoma in Patients With Hepatitis C Cirrhosis.

IMPORTANCE: Deep learning, a family of machine learning models that use artificial neural networks, ...

A direct approach for function approximation on data defined manifolds.

In much of the literature on function approximation by deep networks, the function is assumed to be ...

Machine learning for clinical trials in the era of COVID-19.

The world is in the midst of a pandemic. We still know little about the disease COVID-19 or about th...

Artificial Intelligence for COVID-19 Drug Discovery and Vaccine Development.

SARS-COV-2 has roused the scientific community with a call to action to combat the growing pandemic....

Direct cortical thickness estimation using deep learning-based anatomy segmentation and cortex parcellation.

Accurate and reliable measures of cortical thickness from magnetic resonance imaging are an importan...

Changes in technology acceptance among older people with dementia: the role of social robot engagement.

OBJECTIVE: Emerging technologies such as social robots have shown to be effective in reducing loneli...

Drawing insights from COVID-19-infected patients using CT scan images and machine learning techniques: a study on 200 patients.

As the whole world is witnessing what novel coronavirus (COVID-19) can do to the mankind, it present...

Neural dynamics of perceptual inference and its reversal during imagery.

After the presentation of a visual stimulus, neural processing cascades from low-level sensory areas...

Detection and genomic characterization of hepatitis E virus genotype 3 from pigs in Ghana, Africa.

BACKGROUND: Hepatitis E virus (HEV) is a major cause of human hepatitis worldwide. Zoonotic genotype...

The combination of artificial intelligence and systems biology for intelligent vaccine design.

INTRODUCTION: A new body of evidence depicts the applications of artificial intelligence and systems...

Time-resolved neurotransmitter detection in mouse brain tissue using an artificial intelligence-nanogap.

The analysis of neurotransmitters in the brain helps to understand brain functions and diagnose Park...

COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning.

To ultimately combat the emerging COVID-19 pandemic, it is desired to develop an effective and safe ...

Finding undiagnosed patients with hepatitis C infection: an application of artificial intelligence to patient claims data.

Hepatitis C virus (HCV) remains a significant public health challenge with approximately half of the...

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