Infectious Disease

Protein function prediction from protein-protein interaction network using gene ontology based neighborhood analysis and physico-chemical features.

Protein Function Prediction from Protein-Protein Interaction Network (PPIN) and physico-chemical features using the Gene Ontology (GO) classification are indeed very useful for assigning biological or biochemical functions to a protein. They also lead to the identification of those significant proteins which are responsible for the generation of various diseases whose drugs are still yet to be dis...

anti-inflammatory and antimicrobial potential of leaf extract from (Clarke) Pamp.

In the present investigation, the bioactive compounds from the leaf extract of showed potent anti-inflammatory and antimicrobial activity. The leaf extract showed a maximum protection of human red blood cells (HRBC) with 74.63% at 20 µg/mL concentration, and the minimum hemolysis was 25.37% in a hypotonic solution with diclofenac as the control. The antimicrobial activity of plant extract agains...

Detecting gene-gene interactions for complex quantitative traits using generalized fuzzy classification.

BACKGROUND: Quantitative traits or continuous outcomes related to complex diseases can provide more information and therefore more accurate analysis f...

Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study.

BACKGROUND: Based on international diagnostic guidelines, high-resolution CT plays a central part in the diagnosis of fibrotic lung disease. In the co...

Experimental infection of Friesian bulls with Theileria orientalis (Ikeda) and effects on the haematocrit, live weight, rectal temperature and activity.

Since 2012, New Zealand has suffered from an epidemic of infectious bovine anaemia associated with T. orientalis (Ikeda), an obligate intracellular pr...

Comparison of multi-linear regression, particle swarm optimization artificial neural networks and genetic programming in the development of mini-tablets.

In the present study, the preparation of pharmaceutical mini-tablets was attempted in the framework of Quality by Design (QbD) context, by comparing t...

Detection of Colorectal Carcinoma Based on Microbiota Analysis Using Generalized Regression Neural Networks and Nonlinear Feature Selection.

To obtain a screening tool for colorectal cancer (CRC) based on gut microbiota, we seek here to identify an optimal classifier for CRC detection as we...

Deep learning with cinematic rendering: fine-tuning deep neural networks using photorealistic medical images.

Deep learning has emerged as a powerful artificial intelligence tool to interpret medical images for a growing variety of applications. However, the p...

Association of Helicobacter pylori Infection With Colon Cancer and Adenomatous Polyps.

BACKGROUND AND OBJECTIVE: infection is one of the most common chronic bacterial infections in the world, especially in the developing countries. This...

Sanitation of tomatoes based on a combined approach of washing process and pulsed light in conjunction with selected disinfectants.

In this study, we evaluated the performance of a large-scale decontamination system based on a washing process in combination with pulsed light (PL) e...

Two-Step Concentration of Complex Water Samples for the Detection of Viruses.

The accurate detection and quantification of pathogenic viruses in water is essential to understand and reduce the risk of human infection. This paper...

The antibacterial activity of rhamnolipid biosurfactant is pH dependent.

Rhamnolipid (RL) biosurfactants have been studied as agents to control the growth of food pathogens however, to be successful applied as antimicrobial...

Regularized aggregation of statistical parametric maps.

Combining statistical parametric maps (SPM) from individual subjects is the goal in some types of group-level analyses of functional magnetic resonanc...

Effect of deglutition aids on the inhibitory effect of orally disintegrating tablets of voglibose on the postprandial elevation of blood glucose levels: a case investigating the interaction between xanthan gum and voglibose.

In this study, we first performed a disintegration test of the voglibose orally disintegrating (V-OD) tablet immersed in jelly-wafer (JW, V-ODims/jw) ...

A comparative study of logistic regression based machine learning techniques for prediction of early virological suppression in antiretroviral initiating HIV patients.

BACKGROUND: Treatment with effective antiretroviral therapy (ART) lowers morbidity and mortality among HIV positive individuals. Effective highly acti...

Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.

Genome-Wide Association Studies (GWAS) are used to identify statistically significant genetic variants in case-control studies. The main objective is ...

Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis.

The purpose of this study was to evaluate the performance of the deep convolutional neural network (DCNN) in differentiating between tuberculous and p...

Novel symmetry-based gene-gene dissimilarity measures utilizing Gene Ontology: Application in gene clustering.

In recent years DNA microarray technology, leading to the generation of high-volume biological data, has gained significant attention. To analyze this...

Kyasanur Forest Disease Classification Framework Using Novel Extremal Optimization Tuned Neural Network in Fog Computing Environment.

Kyasanur Forest Disease (KFD) is a life-threatening tick-borne viral infectious disease endemic to South Asia and has been taking so many lives every ...

Representing vaccine misinformation using ontologies.

BACKGROUND: In this paper, we discuss the design and development of a formal ontology to describe misinformation about vaccines. Vaccine misinformatio...