Infectious Disease

Effect of biogenic selenium nanoparticles on ERG11 and CDR1 gene expression in both fluconazole-resistant and -susceptible isolates.

BACKGROUND AND PURPOSE: is the most common species (sp.) isolated from fungal infections. Azole resistance in species has been considerably increased in the last decades. Given the toxicity of the antimicrobial drugs, resistance to antifungal agents, and drug interactions, the identification of new antifungal agents seems essential. In this study, we assessed the antifungal effects of biogenic ...

A predictive model to evaluate the impact of the cooling profile on growth of psychrotrophic bacteria in raw milk from conventional and robotic milking.

This Research Communication explores the usefulness of predictive modelling to explain bacterial behaviour during cooling. A simple dynamic lag phase model was developed and validated. The model takes into account the effect of the cooling profile on the lag phase and growth in bulk tank milk. The time before the start of cooling was the most critical and should not exceed 1 h. The cooling rate be...

An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features.

Prediction of essential genes helps to identify a minimal set of genes that are absolutely required for the appropriate functioning and survival of a ...

Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations.

OBJECTIVE: To develop automated classification methods for eligibility criteria in ClinicalTrials.gov to facilitate patient-trial matching for specifi...

Qualitative analysis of biological tuberculosis samples by an electronic nose-based artificial neural network.

OBJECTIVE: To apply an e-nose system for monitoring headspace volatiles in biological samples from Egyptian patients with active pulmonary tuberculosi...

Predicting protein-protein interactions from protein sequences by a stacked sparse autoencoder deep neural network.

Protein-protein interactions (PPIs) play an important role in most of the biological processes. How to correctly and efficiently detect protein intera...

Community-Acquired Pneumonia Case Validation in an Anonymized Electronic Medical Record-Linked Expert System.

An electronic anonymized patient portal analysis using radiographic reports and admission and discharge diagnoses had sensitivity, specificity, positi...

HPLC METHOD FOR SEPARATING ENANTIOMERS OF IMIDAZOLE DERIVATIVES - ANTIFUNGAL COMPOUNDS.

The aim of this study was to test separation possibility of enantiomers of nine active substances belonging to imidazole derivatives: bifonazole, buto...

MICROTOX TEST AS A TOOL TO ASSESS ANTIMICROBIAL PROPERTIES OF HERBAL INFUSIONS USED IN URINARY TRACT INFECTIONS.

Herbs can be used preventatively, to aid treatment and to ease the symptoms of urinary tract infections (UTIs). Traditional medicine uses herbal infus...

Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier.

Identification of protein-protein interactions (PPIs) is of critical importance for deciphering the underlying mechanisms of almost all biological pro...

Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires.

MOTIVATION: Somatic DNA recombination, the hallmark of vertebrate adaptive immunity, has the potential to generate a vast diversity of antigen recepto...

A Fresh Shine onCystic Fibrosis Inhalation Therapy: Antimicrobial Synergy of Polymyxin B in Combination with Silver Nanoparticles.

This in vitro study aimed to investigate the synergistic antibacterial activity of polymyxin B in combination with 2 nm silver nanoparticles (NPs) aga...

Caspofungin infusion solutions (50 mg/100 mL): chemical stability and antifungal activity against Candida spp.

BACKGROUND: Ready to use caspofungin infusion bags are centrally prepared in the Hospital Pharmacy, University Hospital of Heidelberg, for economic re...

Influence of Incubation Conditions on the Nanoparticles Toxicity Based on Seed Germination and Bacterial Bioluminescence.

The effects of the modified incubation conditions of a conventional bioassay on the toxicity of partially soluble nanoparticles (NPs) were evaluated b...

Gene essentiality prediction based on fractal features and machine learning.

Essential genes are required for the viability of an organism. Accurate and rapid identification of new essential genes is of substantial theoretical ...

Factors Associated with HIV Testing Among Participants from Substance Use Disorder Treatment Programs in the US: A Machine Learning Approach.

HIV testing is the foundation for consolidated HIV treatment and prevention. In this study, we aim to discover the most relevant variables for predict...

Toward Automating HIV Identification: Machine Learning for Rapid Identification of HIV-Related Social Media Data.

INTRODUCTION: "Social big data" from technologies such as social media, wearable devices, and online searches continue to grow and can be used as tool...

Machine-learning Support to Individual Diagnosis of Mild Cognitive Impairment Using Multimodal MRI and Cognitive Assessments.

BACKGROUND: Understanding whether the cognitive profile of a patient indicates mild cognitive impairment (MCI) or performance levels within normality ...

Correlate: A PACS- and EHR-integrated Tool Leveraging Natural Language Processing to Provide Automated Clinical Follow-up.

A major challenge for radiologists is obtaining meaningful clinical follow-up information for even a small percentage of cases encountered and dictate...

Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming.

Growing bacterial resistance to antibiotics is spurring research on utilizing naturally-occurring antimicrobial peptides (AMPs) as templates for novel...