Hematology

Lymphoma

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

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A new near-lossless EEG compression method using ANN-based reconstruction technique.

Compression algorithm is an essential part of Telemedicine systems, to store and transmit large amou...

May 2017 28558318
Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine Learning.

BACKGROUND AND PURPOSE: Accurate preoperative differentiation of primary central nervous system lymp...

Apr 2017 28450433
Systematic analysis of non-structural protein features for the prediction of PTM function potential by artificial neural networks.

Post-translational modifications (PTMs) provide an extensible framework for regulation of protein be...

Feb 2017 28225828
Gradient Boosted Decision Tree Classification of Endophthalmitis Versus Uveitis and Lymphoma from Aqueous and Vitreous IL-6 and IL-10 Levels.

PURPOSE: To investigate the effectiveness of gradient boosting to classify endophthalmitis versus uv...

Feb 2017 28157416
Artificial neural network modelling of continuous wet granulation using a twin-screw extruder.

Computational modelling of twin-screw granulation was conducted by using an artificial neural networ...

Feb 2017 28163225
Prediction of skin sensitization potency using machine learning approaches.

The replacement of animal use in testing for regulatory classification of skin sensitizers is a prio...

Jan 2017 28074598
A Novel Microspheres Formulation of Puerarin: Pharmacokinetics Study and In Vivo Pharmacodynamics Evaluations.

The aim of this study was to investigate the pharmacokinetics and pharmacodynamics of puerarin loade...

Dec 2016 28119759
Suppressive effects of the expectorant drug ambroxol hydrochloride on quartz-induced lung inflammation in F344 rats.

Surfactant proteins (SPs) are essential to respiratory structure and function. The expectorant drug ...

Dec 2016 28458453
Methotrexate-associated primary hepatic malignant lymphoma following hepatectomy: A case report.

INTRODUCTION: Recently, immunosuppressant-associated malignant lymphoma (ML) cases have been increas...

Dec 2016 28076752
Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis.

This was a retrospective study to investigate the predictive and prognostic ability of quantitative ...

Dec 2016 27922113
Non-ionic iodinated contrast media related immediate reactions: A mechanism study of 27 patients.

The underlying mechanism of non-ionic iodinated contrast media-related immediate reactions was evalu...

Nov 2016 28081790
Genotoxic effects of synthetic amorphous silica nanoparticles in the mouse lymphoma assay.

Synthetic amorphous silica nanoparticles (SAS NPs) have been used in various industries, such as pla...

Oct 2016 28959608
ANN Prediction of Metabolic Syndrome: a Complex Puzzle that will be Completed.

The diagnosis of metabolic syndrome (MetS) has a leading role in the early prevention of chronic dis...

Oct 2016 27730390
Evaluation of supervised machine-learning algorithms to distinguish between inflammatory bowel disease and alimentary lymphoma in cats.

Inflammatory bowel disease (IBD) and alimentary lymphoma (ALA) are common gastrointestinal diseases ...

Oct 2016 27698168
Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees.

The success of myoelectric pattern recognition (M-PR) mostly relies on the features extracted and cl...

Oct 2016 27814466
Prediction of fermentation index of cocoa beans (Theobroma cacao L.) based on color measurement and artificial neural networks.

Several procedures are currently used to assess fermentation index (FI) of cocoa beans (Theobroma ca...

Aug 2016 27769412
Application of backpropagation artificial neural network prediction model for the PAH bioremediation of polluted soil.

The backpropagation (BP) artificial neural network (ANN) is a renowned and extensively functional ma...

Jul 2016 27424056
Non-reward neural mechanisms in the orbitofrontal cortex.

Single neurons in the primate orbitofrontal cortex respond when an expected reward is not obtained, ...

Jul 2016 27474915
On the influence of spread constant in radial basis networks for electrical impedance tomography.

Electrical impedance tomography (EIT) is a non-invasive imaging technique. The main task of this wor...

May 2016 27203367
Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks.

The amount of coronary artery calcification (CAC) is a strong and independent predictor of cardiovas...

Apr 2016 27138584
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