Lymphoma

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 ambroxol hydrochloride is clinically prescribed to stimulate pulmonary surfactant and airway serous secretion. Therefore, ambroxol hydrochloride may affect SP production and pulmonary inflammation. Lung toxicity of fine particles of various materials has been examined previously in our bioassay usi...

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

INTRODUCTION: Recently, immunosuppressant-associated malignant lymphoma (ML) cases have been increasing along with the development of several effective immunosuppressant drugs for rheumatoid arthritis (RA). Among methotrexate (MTX)-associated lymphoproliferative disorders, primary hepatic lymphoma (PHL) in patients with RA following surgical resection has not been reported previously.

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 computed tomography phenotypic features in patient...

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 evaluated in this study. Patients presenting at least g...

Investigation of co-combustion characteristics of sewage sludge and coffee grounds mixtures using thermogravimetric analysis coupled to artificial neural networks modeling.

Artificial neural network (ANN) modeling was applied to thermal data obtained by non-isothermal thermogravimetric analysis (TGA) from room temperature...

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 plastics, glass, paints, electronics, synthetic rubbe...

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 disease, such as cardiovascular disease, type 2 diabe...

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 in cats. The very similar clinical signs and histo...

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 classifier employed. This paper proposes and evaluat...

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 cacao L.) for quality control. However, all of them ...

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 mathematical tool used for time-series predictions a...

Non-reward neural mechanisms in the orbitofrontal cortex.

Single neurons in the primate orbitofrontal cortex respond when an expected reward is not obtained, and behaviour must change. The human lateral orbit...

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 work is to solve a non-linear inverse problem, for wh...

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 cardiovascular events. CAC is clinically quantified in card...

q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans.

Numerous scientific fields rely on elaborate but partly suboptimal data processing pipelines. An example is diffusion magnetic resonance imaging (diff...

The diagnostic value of serum CEA, NSE and MMP-9 for on-small cell lung cancer.

Non-small cell lung cancer (NSCLC) is the leading cause of cancer related deaths worldwide. But no one type of serum biomarker was found to be highly ...

Vision-based Nano Robotic System for High-throughput Non-embedded Cell Cutting.

Cell cutting is a significant task in biology study, but the highly productive non-embedded cell cutting is still a big challenge for current techniqu...

Estimation of NMVOC emissions using artificial neural networks and economical and sustainability indicators as inputs.

This paper describes the development of an artificial neural network (ANN) model based on economical and sustainability indicators for the prediction ...

Exploiting non-linear relationships between retention time and molecular structure of peptides originating from proteomes and comparing three multivariate approaches.

Peptides' retention time prediction is gaining increasing popularity in liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based proteomics. Th...

Multimodal hybrid imaging agents for sentinel node mapping as a means to (re)connect nuclear medicine to advances made in robot-assisted surgery.

PURPOSE: Radical prostatectomy and complementary extended pelvic lymph node dissection (ePLND) of sentinel lymph nodes (SNs) and non-sentinel lymph no...