Infectious Disease

Hepatitis

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

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Development of a deep learning network for Alzheimer's disease classification with evaluation of imaging modality and longitudinal data.

. Neuroimaging uncovers important information about disease in the brain. Yet in Alzheimer's disease...

Direct mapping from PET coincidence data to proton-dose and positron activity using a deep learning approach.

. Obtaining the intrinsic dose distributions in particle therapy is a challenging problem that needs...

Direct identification of ALK and ROS1 fusions in non-small cell lung cancer from hematoxylin and eosin-stained slides using deep learning algorithms.

Anaplastic lymphoma kinase (ALK) and ROS oncogene 1 (ROS1) gene fusions are well-established key pla...

MolPredictX: Online Biological Activity Predictions by Machine Learning Models.

Here we report the development of MolPredictX, an innovate and freely accessible web interface for b...

Radiomics and deep learning methods for the prediction of 2-year overall survival in LUNG1 dataset.

In this study, we tested and compared radiomics and deep learning-based approaches on the public LUN...

Identification of missing hierarchical relations in the vaccine ontology using acquired term pairs.

BACKGROUND: The Vaccine Ontology (VO) is a biomedical ontology that standardizes vaccine annotation....

Measuring haemolysis in cattle serum by direct UV-VIS and RGB digital image-based methods.

A simple, rapid procedure is required for the routine detection and quantification of haemolysis, on...

Impact of ANN in Revealing of Viral Peptides.

All organisms contain antimicrobial peptides (AMPs), which are a critical component of the innate im...

Fatal injuries due to direct helicopter propeller strike.

During a helicopter exercise, due to the scarce visibility caused by the presence of snow, a collisi...

Micro Learning Support Vector Machine for Pattern Classification: A High-Speed Algorithm.

The support vector machine theory has been developed into a very mature system at present. The origi...

Biomacromolecule-Assisted Screening for Reaction Discovery and Catalyst Optimization.

Reaction discovery and catalyst screening lie at the heart of synthetic organic chemistry. While the...

Combined Mueller matrix imaging and artificial intelligence classification framework for Hepatitis B detection.

SIGNIFICANCE: The combination of polarized imaging with artificial intelligence (AI) technology has ...

Automated detection of vascular remodeling in tumor-draining lymph nodes by the deep-learning tool HEV-finder.

Vascular remodeling is common in human cancer and has potential as future biomarkers for prediction ...

Deep Learning and Structure-Based Virtual Screening for Drug Discovery against NEK7: A Novel Target for the Treatment of Cancer.

NIMA-related kinase7 (NEK7) plays a multifunctional role in cell division and NLRP3 inflammasone act...

Robotic Cochlear Implantation for Direct Cochlear Access.

Robot-assisted systems offer great potential for gentler and more precise cochlear implantation. In ...

Sequential Properties Representation Scheme for Recurrent Neural Network-Based Prediction of Therapeutic Peptides.

The discovery of therapeutic peptides is often accelerated by means of virtual screening supported b...

Deep-learning-based methods of attenuation correction for SPECT and PET.

Attenuation correction (AC) is essential for quantitative analysis and clinical diagnosis of single-...

Scan-Specific Generative Neural Network for MRI Super-Resolution Reconstruction.

The interpretation and analysis of Magnetic resonance imaging (MRI) benefit from high spatial resolu...

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