Infectious Disease

Applying GIS and Machine Learning Methods to Twitter Data for Multiscale Surveillance of Influenza.

Traditional methods for monitoring influenza are haphazard and lack fine-grained details regarding the spatial and temporal dynamics of outbreaks. Twitter gives researchers and public health officials an opportunity to examine the spread of influenza in real-time and at multiple geographical scales. In this paper, we introduce an improved framework for monitoring influenza outbreaks using the soci...

The antileishmanial effects of and on promastigotes: an in vitro study.

Leishmaniasis is a parasitic disease caused by different species of protozoan parasites belonging to the genus . In this study, (MRHO/IR/75/ER) promastigotes were cultured at 23-25 °C in brain heart infusion BHI medium supplemented with 10 % heat-inactivated fetal bovine serum (FBS) and penicillin and streptomycin. Antileishmanial effects of and methanolic extracts (0.07, 0.15, 0.31, 0.62, 1.25...

Clinical chemistry in higher dimensions: Machine-learning and enhanced prediction from routine clinical chemistry data.

Big Data is having an impact on many areas of research, not the least of which is biomedical science. In this review paper, big data and machine learn...

Breast cancer-associated high-order SNP-SNP interaction of CXCL12/CXCR4-related genes by an improved multifactor dimensionality reduction (MDR-ER).

In association studies, the combined effects of single nucleotide polymorphism (SNP)-SNP interactions and the problem of imbalanced data between cases...

Machine Learning of Protein Interactions in Fungal Secretory Pathways.

In this paper we apply machine learning methods for predicting protein interactions in fungal secretion pathways. We assume an inter-species transfer ...

Improved Fuzzy Logic System to Evaluate Milk Electrical Conductivity Signals from On-Line Sensors to Monitor Dairy Goat Mastitis.

The aim of this study was to develop and test a new fuzzy logic model for monitoring the udder health status (HS) of goats. The model evaluated, as in...

Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights.

Shotgun metagenomic analysis of the human associated microbiome provides a rich set of microbial features for prediction and biomarker discovery in th...

An improved method for predicting interactions between virus and human proteins.

The interaction of virus proteins with host proteins plays a key role in viral infection and consequent pathogenesis. Many computational methods have ...

ANTIMICROBIAL ACTIVITY OF (SPRENG.) LESS. (ASTERACEAE) METHANOL EXTRACTS AGAINST .

BACKGROUND: Prolonged use of antibiotics may lead to the selection of drug-resistant bacteria; as a result, efforts are being made to identify new and...

Machine Learning Model Analysis and Data Visualization with Small Molecules Tested in a Mouse Model of Mycobacterium tuberculosis Infection (2014-2015).

The renewed urgency to develop new treatments for Mycobacterium tuberculosis (Mtb) infection has resulted in large-scale phenotypic screening and thou...

Prediction of bacterial associations with plants using a supervised machine-learning approach.

Recent scenarios of fresh produce contamination by human enteric pathogens have resulted in severe food-borne outbreaks, and a new paradigm has emerge...

Evaluation of the proximate composition, antioxidant potential, and antimicrobial activity of mango seed kernel extracts.

After pulp extraction in fruit processing industry, a significant quantity of mango seed kernels are discarded as solid wastes. These seed kernels can...

Intrathecal injection of tigecycline in treatment of multidrug-resistant meningitis: a case report.

The ubiquitous is an important and troublesome pathogen of nosocomial infection. Multidrug-resistant meningitis is very difficult to treat, usually ...

Composition of Asarum heterotropoides var. mandshuricum radix oil from different extraction methods and activities against human body odor-producing bacteria.

In this study, oils from Asarum heterotropoides were extracted by traditional solvent extraction and supercritical CO (SC-CO) extraction methods and t...

Synthesis, identification and in vitro biological evaluation of some novel quinoline incorporated 1,3-thiazinan-4-one derivatives.

The present study describes the synthesis of two new series of 3-hydroxy-N-(4-oxo-2-phenyl-1,3-thiazinan-3-yl)-8-(trifluoromethyl)quinoline-2-carboxam...

Ombitasvir, paritaprevir, and ritonavir plus ribavirin in adults with hepatitis C virus genotype 4 infection and cirrhosis (AGATE-I): a multicentre, phase 3, randomised open-label trial.

BACKGROUND: Hepatitis C virus (HCV) genotype 4 infection is most commonly reported in sub-Saharan Africa and the Middle East; however, prevalence is i...

Ombitasvir, paritaprevir, and ritonavir plus ribavirin for chronic hepatitis C virus genotype 4 infection in Egyptian patients with or without compensated cirrhosis (AGATE-II): a multicentre, phase 3, partly randomised open-label trial.

BACKGROUND: In Egypt, chronic hepatitis C virus (HCV) infection occurs in around 10% of the population (about 8 million individuals), and is a leading...

Structure-activity relationship studies of 1-(1'-hydroxyalkyl)rupestonic acid methyl esters against influenza viruses.

A series of 1-(1'-hydroxyalkyl)rupestonic acid methyl esters were synthesized via the condensation of methyl rupestonate with various aldehydes in the...

Trypanocidal action of and essential oils against in vitro and in vivo used mice as experimental model.

Parasitic diseases have an enormous health and economic impact and are a particular problem in tropical regions of the world. Disease caused by protoz...

Application of a Combined Model with Autoregressive Integrated Moving Average (ARIMA) and Generalized Regression Neural Network (GRNN) in Forecasting Hepatitis Incidence in Heng County, China.

BACKGROUND: Hepatitis is a serious public health problem with increasing cases and property damage in Heng County. It is necessary to develop a model ...