Hepatitis

Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis.

BACKGROUND: COVID-19 is one of the greatest threats to human beings in terms of health care, economy...

Direct Comparison of the Prediction of the Unbound Brain-to-Plasma Partitioning Utilizing Machine Learning Approach and Mechanistic Neuropharmacokinetic Model.

The mechanistic neuropharmacokinetic (neuroPK) model was established to predict unbound brain-to-pla...

Streaming cascade-based speech translation leveraged by a direct segmentation model.

The cascade approach to Speech Translation (ST) is based on a pipeline that concatenates an Automati...

Force-Free Control for Direct Teaching of a Surgical Assistant Robot End Effector with Wire-Driven Bidirectional Telescopic Mechanism.

This paper shows the design and modeling of an end effector with a bidirectional telescopic mechanis...

Is Machine Learning-derived Low-Density Lipoprotein Cholesterol estimation more reliable than standard closed form equations? Insights from a laboratory database by comparison with a direct homogeneous assay.

BACKGROUND: There is no consensus on the best method to estimate Low Density Lipoprotein-Cholesterol...

Prediction of direct carbon emissions of Chinese provinces using artificial neural networks.

Closely connected to human carbon emissions, global climate change is affecting regional economic an...

Selecting a stable solid form of remdesivir using microcrystal electron diffraction and crystal structure prediction.

Therapeutic options in response to the coronavirus disease 2019 (COVID-19) outbreak are urgently nee...

Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning.

OBJECTIVES: To investigate the diagnostic performance of deep transfer learning (DTL) to detect live...

Article-level classification of scientific publications: A comparison of deep learning, direct citation and bibliographic coupling.

Classification schemes for scientific activity and publications underpin a large swath of research e...

Simultaneous Direct Depth Estimation and Synthesis Stereo for Single Image Plant Root Reconstruction.

Plant roots are the main conduit to its interaction with the physical and biological environment. A ...

Machine learning techniques applied to the drug design and discovery of new antivirals: a brief look over the past decade.

: Drug design and discovery of new antivirals will always be extremely important in medicinal chemis...

An artificial intelligence algorithm for analyzing acetaminophen-associated toxic hepatitis.

INTRODUCTION: Very little artificial intelligence (AI) work has been performed to investigate acetam...

Using Direct Acyclic Graphs to Enhance Skeleton-Based Action Recognition with a Linear-Map Convolution Neural Network.

Research on the human activity recognition could be utilized for the monitoring of elderly people li...

How artificial intelligence and internet of things can aid in the distribution of COVID-19 vaccines.

Feasibility of automatic detection of small hepatocellular carcinoma (≤2 cm) in cirrhotic liver based on pattern matching and deep learning.

Early detection of hepatocellular carcinoma (HCC) is crucial for clinical management. Current studie...

Application of deep learning and molecular modeling to identify small drug-like compounds as potential HIV-1 entry inhibitors.

A generative adversarial autoencoder for the rational design of potential HIV-1 entry inhibitors abl...

GraphCovidNet: A graph neural network based model for detecting COVID-19 from CT scans and X-rays of chest.

COVID-19, a viral infection originated from Wuhan, China has spread across the world and it has curr...

Simpson's Paradox in COVID-19 Case Fatality Rates: A Mediation Analysis of Age-Related Causal Effects.

We point out an instantiation of Simpson's paradox in COVID-19 case fatality rates (cfrs): comparing...

Utilization of SAPO-18 or SAPO-35 in the bifunctional catalyst for the direct conversion of syngas to light olefins.

SAPO-18 and SAPO-35 were synthesized and utilized as the zeotype in the bifunctional catalyst for th...

An Explainable Artificial Intelligence Framework for the Deterioration Risk Prediction of Hepatitis Patients.

In recent years, artificial intelligence-based computer aided diagnosis (CAD) system for the hepatit...

A direct comparison of theory-driven and machine learning prediction of suicide: A meta-analysis.

Theoretically-driven models of suicide have long guided suicidology; however, an approach employing ...