Infectious Disease

Hepatitis

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

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Chronic kidney disease in Hepatitis C and its association with liver cirrhosis and viral load: Revealing the importance of hematuria.

Hepatitis C virus (HCV) contributed as a risk factor for chronic kidney disease (CKD). Many studies ...

Combined transcranial Direct Current Stimulation and robot-assisted arm training in patients with stroke: a systematic review.

BACKGROUND: Upper limb motor deficits in patients with severe stroke often remain unresolved over ti...

The fifth dimension in esthetic dentistry.

Every human smile is unique and special, reflecting the different shapes, textures, and colors of th...

Deep direct likelihood knockoffs.

Predictive modeling often uses black box machine learning methods, such as deep neural networks, to ...

Dermoscopic Features of Giant Molluscum Contagiosum in a Patient with Acquired Immunodeficiency Syndrome.

Giant molluscum contagiosum (MC) is a peculiar variant of the disease with the presence of multiple ...

Development and validation of radiomics model built by incorporating machine learning for identifying liver fibrosis and early-stage cirrhosis.

BACKGROUND: Liver fibrosis (LF) continues to develop and eventually progresses to cirrhosis. However...

Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2.

Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) v...

Machine learning for direct oxygen saturation and hemoglobin concentration assessment using diffuse reflectance spectroscopy.

SIGNIFICANCE: Diffuse reflectance spectroscopy (DRS) is frequently used to assess oxygen saturation ...

Adapting and Extending a Typology to Identify Vaccine Misinformation on Twitter.

To adapt and extend an existing typology of vaccine misinformation to classify the major topics of ...

Predicting bacterial virulence factors - evaluation of machine learning and negative data strategies.

Bacterial proteins dubbed virulence factors (VFs) are a highly diverse group of sequences, whose onl...

Study on the differentially expressed genes and signaling pathways in dermatomyositis using integrated bioinformatics method.

Dermatomyositis is a common connective tissue disease. The occurrence and development of dermatomyos...

'I'm over the moon!': patient-perceived outcomes of hepatitis C treatment.

Understanding patient-perceived outcomes is crucial for assessing the effectiveness and acceptabilit...

Assisting the Non-invasive Diagnosis of Liver Fibrosis Stages using Machine Learning Methods.

Fibrosis is a significant indication of chronic liver diseases often due to hepatitis C Virus. It is...

Urgent Need for Developing a Framework for the Governance of AI in Healthcare.

Lately, the application or integration of Artificial Intelligence in various areas of the Healthcare...

Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks.

Evolution is a blind fitting process by which organisms become adapted to their environment. Does th...

Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks.

Influenza viruses are persistently threatening public health, causing annual epidemics and sporadic ...

Multivariate Data Analysis and Machine Learning for Prediction of MCI-to-AD Conversion.

There has always been a need for discovering efficient and dependable Alzheimer's disease (AD) diagn...

PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation in Digital Pathology.

The diagnosis of disease often requires analysis of a biopsy. Many diagnoses depend not only on the ...

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