Lymphoma

[Effect of Brucea javanica oil emulsion on proliferation, migration and autophagy of non-small cell lung cancer A549 cells and the underlying mechanisms].

To investigate the effect of Brucea javanica oil emulsion on proliferation, migration and autophagy of non-small cell lung cancer A549 cells.
 Methods: First, A549 cells were divided into a control group and a low, medium or high dose of Brucea javanica oil emulsion groups (0, 2.5, 5.0 or 10.0 mg/mL); then, the cells were divided into a 3-MA+Brucea javanica oil emulsion group and a Brucea javanica...

Machine learning applications for the differentiation of primary central nervous system lymphoma from glioblastoma on imaging: a systematic review and meta-analysis.

OBJECTIVEGlioblastoma (GBM) and primary central nervous system lymphoma (PCNSL) are common intracranial pathologies encountered by neurosurgeons. They often may have similar radiological findings, making diagnosis difficult without surgical biopsy; however, management is quite different between these two entities. Recently, predictive analytics, including machine learning (ML), have garnered atten...

[Big data and artificial intelligence for diagnostic decision support in atypical dementia].

The differential diagnosis of atypical dementia remains difficult. The use of positron emission tomography (PET) still represents the gold standard fo...

MIIC online: a web server to reconstruct causal or non-causal networks from non-perturbative data.

SUMMARY: We present a web server running the MIIC algorithm, a network learning method combining constraint-based and information-theoretic frameworks...

Towards the Establishment of a Biomedical Ontology for the Primary Sjögren's Syndrome.

Primary Sjögren's Syndrome (pSS) has been characterized as a hypersensitivity reaction type II systemic autoimmune chronic disease causing exocrine gl...

DeFine: deep convolutional neural networks accurately quantify intensities of transcription factor-DNA binding and facilitate evaluation of functional non-coding variants.

The complex system of gene expression is regulated by the cell type-specific binding of transcription factors (TFs) to regulatory elements. Identifyin...

Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting.

Motivated by the great potential of deep learning in medical imaging, we propose an iterative positron emission tomography reconstruction framework us...

Plasma fatty acid profile as biomarker of coronary artery disease: a pilot study using fourth generation artificial neural networks.

Many studies, focused on identifying new biomarkers for coronary artery disease (CAD) risk computation and monitoring, suggested a potential diagnosti...

Predictive Factors for Post-Ischemic Compartment Syndrome in Non-Traumatic Acute Limb Ischemia in a Lower Extremity.

: Compartment syndrome (CS) is serious complication following revascularization of acute limb ischemia (ALI). However, predictive factors associated w...

[Effects of Soil Microbial Diversity on the Phosphate Fraction in the Rhizosphere of in the Yeyahu Wetland in Beijing, China].

In this research, microorganisms in rhizosphere/non-rhizosphere soils of in the Yeyahu Wetland were studied. A sequential extraction procedure was us...

[Noninvasive Continuous Blood Pressure Measurement Method Based on EEMD and ANN].

Blood pressure is an important index to measure the function of human cardiovascular system. In order to solve the problem of non-invasive continuous ...

Artificial intelligence based model for optimization of COD removal efficiency of an up-flow anaerobic sludge blanket reactor in the saline wastewater treatment.

The complex non-linear behavior presented in the biological treatment of wastewater requires an accurate model to predict the system performance. This...

Differentiation of Glioblastoma and Lymphoma Using Feature Extraction and Support Vector Machine.

Differentiation of glioblastoma multiformes (GBMs) and lymphomas using multi-sequence magnetic resonance imaging (MRI) is an important task that is va...

Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.

Multimodal classification methods using different modalities of imaging and non-imaging data have recently shown great advantages over traditional sin...

User intent prediction with a scaled conjugate gradient trained artificial neural network for lower limb amputees using a powered prosthesis.

Powered lower limb prostheses have the ability to provide greater mobility for amputee patients. Such prostheses often have pre-programmed modes which...

Successful Robotic Excision and Early Chemotherapy for Primary Cardiac Lymphoma.

We present a 67-year-old patient who underwent robotic excision of a mobile left ventricular mass found incidentally on echocardiography. Intraoperati...

Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier.

There is general agreement in the brain-computer interface (BCI) community that although non-linear classifiers can provide better results in some cas...

Classification of Human Pregnane X Receptor (hPXR) Activators and Non-Activators by Machine Learning Techniques: A Multifaceted Approach.

The Human Pregnane X Receptor (hPXR) is a regulator of drug metabolising enzymes (DME) and efflux transporters (ET). The prediction of hPXR activators...

Hierarchical Learning of Tree Classifiers for Large-Scale Plant Species Identification.

In this paper, a hierarchical multi-task structural learning algorithm is developed to support large-scale plant species identification, where a visua...

[A Case of Advanced Gastric Cancer for Which Curative Resection Was Performed, Despite CEA Elevation].

A 32-year-old man was admitted to our hospital with the complaint of epigastric pain. Gastrointestinal endoscopy revealed a type 5 advanced gastric ca...