Search results for " screen"

showing 10 items of 970 documents

Spanish validation of the Sexual Addiction Screening Test.

2018

Background and aims Sexual addiction is a pathological behavior characterized by a combination of excessive sexual desire and impaired ability to control it. Its incidence ranges between 1.2% and 32.2%, although this number may vary depending on the screening tool used. This wide variability is largely due to the use of non-validated instruments (e.g., structural validity relying on exploratory analyses, instruments translated without an additional validation process, or instruments validated in another format). To deal with these limitations, this study tested the psychometric properties of the Spanish paper-and-pencil and online versions of the Sexual Addiction Screening Test (SAST). Met…

Sexual addictionAdultMale050103 clinical psychologyFull-length ReportPsychometricsAdolescentPsychometricsmedia_common.quotation_subjectSexual BehaviorMedicine (miscellaneous): Traitement & psychologie clinique [H13] [Sciences sociales & comportementales psychologie]psychometric properties: Treatment & clinical psychology [H13] [Social & behavioral sciences psychology]compulsive sexual behavior03 medical and health sciencesYoung Adult0302 clinical medicinemedicineHumans0501 psychology and cognitive sciencesYoung adultPathologicalmedia_commonPsychiatric Status Rating ScaleshypersexualityIncidence (epidemiology)Addiction05 social sciencesReproducibility of ResultsGeneral Medicinemedicine.disease030227 psychiatrySpanish validationBehavior AddictivePsychiatry and Mental healthClinical PsychologySexual desireSexual Addiction Screening Test (SAST)HypersexualityFemalemedicine.symptomPsychologyClinical psychology
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Application of molecular topology to the prediction of antiparasitic activity against Giardia intestinalis and Trichomonas vaginalis of 2-Acylamino-n…

2020

Giardia intestinalis y Trichomonas vaginalis destacan por su importancia clínica. G. intestinalis causa la giardiosis, una parasitosis de gran importancia epidemiológica y clínica por presentar una elevada prevalencia. T. vaginalis causa la tricomoniasis, la enfermedad de transmisión sexual (ETS) no viral con mayor incidencia del mundo. Ambas parasitosis comparten el mismo tratamiento farmacológico: los nitroimidazoles. Se ha aplicado la topología molecular en la búsqueda de derivados del 2-Acylamino-nitro-1,3-tiazol con actividad antiparasitaria frente a G. intestinalis y T. vaginalis . Con el análisis lineal discriminante se obtuvo un modelo capaz de clasificar correctamente el 92,85 % de…

Sexually transmitted diseasePharmacologyHigh prevalenceMolecular topologyGiardiosisMolecular screeningTopología molecularBiologymedicine.disease_causeMolecular biologyPharmacological treatment2302.22 Farmacología MolecularFármacosmedicineTrichomonas vaginalisMultiple linear regression analysisParasitologíaParasitologyMolecular topology
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Discovery of novel trichomonacidals using LDA-driven QSAR models and bond-based bilinear indices as molecular descriptors

2008

Few years ago, the World Health Organization estimated the number of adults with trichomoniasis at 170 million worldwide, more than the combined numbers for gonorrhea, syphilis, and chlamydia. To combat this sexually transmitted disease, Metronidazole (MTZ) has emerged, since 1959, as a powerful drug for the systematic treatment of infected patients. However, increasing resistance to MTZ, adverse effects associated to high-dose MTZ therapies and very expensive conventional technologies related to the development of new trichomonacidals necessitate novel computational methods that shorten the drug discovery pipeline. Therefore, bond-based bilinear indices, new 2-D bond-based TOMOCOMD-CARDD M…

Sexually transmitted diseaseVirtual screeningQuantitative structure–activity relationshipbusiness.industryDrug discoveryOrganic ChemistryBilinear interpolationComputational biologyMachine learningcomputer.software_genreLinear discriminant analysisWorld healthComputer Science ApplicationsMolecular descriptorDrug DiscoveryArtificial intelligencebusinesscomputerMathematics
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Pyrocoll, an Antibiotic, Antiparasitic and Antitumor Compound Produced by a Novel Alkaliphilic Streptomyces Strain

2003

A new secondary metabolite was detected in the culture extract of Streptomyces sp. AK 409 by HPLC-diode-array screening. The metabolite was identified as pyrocoll, which is known to be a constituent of cigarette smoke. Pyrocoll is known as a synthetic compound, but until now had not been isolated as a natural product from a microorganism. The compound showed biological activity against various Arthrobacter strains, filamentous fungi, several pathogenic protozoa, and some human tumor cell lines.

Spectrophotometry InfraredAntiparasiticmedicine.drug_classMetaboliteAntiprotozoal AgentsMicrobial Sensitivity TestsSecondary metaboliteStreptomycesMass SpectrometryMicrobiologyMicechemistry.chemical_compoundArthrobacterDrug DiscoverymedicineAnimalsHumansPyrrolesNuclear Magnetic Resonance BiomolecularChromatography High Pressure LiquidSoil MicrobiologyAntibacterial agentPharmacologyAntibiotics AntineoplasticbiologyStreptomycetaceaebiology.organism_classificationStreptomyceschemistryFermentationChromatography GelActinomycetalesDrug Screening Assays AntitumorHeLa Cellsmedicine.drugThe Journal of Antibiotics
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Discovery and structure-activity relationship studies of irreversible benzisothiazolinone-based inhibitors against Staphylococcus aureus sortase A tr…

2014

Gram-positive bacteria, in general, and staphylococci, in particular, are the widespread cause of nosocomial and community-acquired infections. The rapid evolvement of strains resistant to antibiotics currently in use is a serious challenge. Novel antimicrobial compounds have to be developed to fight these resistant bacteria, and sortase A, a bacterial cell wall enzyme, is a promising target for novel therapies. As a transpeptidase that covalently attaches various virulence factors to the cell surface, this enzyme plays a crucial role in the ability of bacteria to invade the host's tissues and to escape the immune response. In this study we have screened a small molecule library against rec…

Staphylococcus aureusClinical BiochemistryPharmaceutical ScienceVirulenceStaphylococcal infectionsmedicine.disease_causeBiochemistryBacterial cell structureMicrobiologyStructure-Activity RelationshipBacterial ProteinsSortaseDrug DiscoverymedicineFluorescence Resonance Energy TransferHumansEnzyme InhibitorsMolecular BiologybiologyChemistryOrganic ChemistryStaphylococcal InfectionsAntimicrobialmedicine.diseasebiology.organism_classificationAminoacyltransferasesHigh-Throughput Screening AssaysMolecular Docking SimulationCysteine EndopeptidasesThiazolesBiochemistryStaphylococcus aureusSortase AMolecular MedicineBacteriaBioorganicmedicinal chemistry
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Pathway analysis of high-throughput biological data within a Bayesian network framework

2011

Abstract Motivation: Most current approaches to high-throughput biological data (HTBD) analysis either perform individual gene/protein analysis or, gene/protein set enrichment analysis for a list of biologically relevant molecules. Bayesian Networks (BNs) capture linear and non-linear interactions, handle stochastic events accounting for noise, and focus on local interactions, which can be related to causal inference. Here, we describe for the first time an algorithm that models biological pathways as BNs and identifies pathways that best explain given HTBD by scoring fitness of each network. Results: Proposed method takes into account the connectivity and relatedness between nodes of the p…

Statistics and ProbabilityComputer scienceHigh-throughput screeningGene regulatory networkcomputer.software_genreModels BiologicalBiochemistrySynthetic dataBiological pathwayBayes' theoremHumansGene Regulatory NetworksCarcinoma Renal CellMolecular BiologyGeneBiological dataMicroarray analysis techniquesGene Expression ProfilingBayesian networkRobustness (evolution)Bayes TheoremPathway analysisKidney NeoplasmsHigh-Throughput Screening AssaysComputer Science ApplicationsGene expression profilingComputational MathematicsComputational Theory and MathematicsCausal inferenceData miningcomputerAlgorithmsSoftwareBioinformatics
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Bayesian assessment of times to diagnosis in breast cancer screening

2008

Breast cancer is one of the diseases with the most profound impact on health in developed countries and mammography is the most popular method for detecting breast cancer at a very early stage. This paper focuses on the waiting period from a positive mammogram until a confirmatory diagnosis is carried out in hospital. Generalized linear mixed models are used to perform the statistical analysis, always within the Bayesian reasoning. Markov chain Monte Carlo algorithms are applied for estimation by simulating the posterior distribution of the parameters and hyperparameters of the model through the free software WinBUGS.

Statistics and ProbabilityHyperparametermedicine.diagnostic_testbusiness.industryComputer scienceMarkov chain Monte CarloMachine learningcomputer.software_genreBayesian inferencemedicine.diseaseGeneralized linear mixed modelBayesian statisticsBreast cancer screeningsymbols.namesakeBreast cancerStatisticsmedicinesymbolsMammographyArtificial intelligenceStatistics Probability and UncertaintybusinesscomputerJournal of Applied Statistics
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Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data

2015

The paper describes the use of frequentist and Bayesian shared-parameter joint models of longitudinal measurements of prostate-specific antigen (PSA) and the risk of prostate cancer (PCa). The motivating dataset corresponds to the screening arm of the Spanish branch of the European Randomized Screening for Prostate Cancer study. The results show that PSA is highly associated with the risk of being diagnosed with PCa and that there is an age-varying effect of PSA on PCa risk. Both the frequentist and Bayesian paradigms produced very close parameter estimates and subsequent 95% confidence and credibility intervals. Dynamic estimations of disease-free probabilities obtained using Bayesian infe…

Statistics and ProbabilityPREDICTIONBayesian probabilityurologic and male genital diseasesBayesian inferenceGeneralized linear mixed modelPSAProstate cancerLATENT CLASS MODELSAnàlisi de supervivència (Biometria)Frequentist inference62N01Statisticsprostate cancer screeningSurvival analysis (Biometry)FAILUREMedicineProstate cancer riskTO-EVENT DATAbusiness.industryjoint modelsMORTALITYDISEASE PROGRESSIONmedicine.diseaselinear mixed modelsTIMEProstate-specific antigenProstate cancer screeningshared-parameter models:Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC]62P10SURVIVALStatistics Probability and Uncertaintyrelative risk modelsFOLLOW-UPbusinessJournal of Applied Statistics
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Comparative Study of Human and Automated Screening for Antinuclear Antibodies by Immunofluorescence on HEp-2 Cells

2015

Background : Several automated systems had been developed in order to reduce inter-observer variability in indirect immunofluorescence (IIF) interpretation. We aimed to evaluate the performance of a processing system in antinuclear antibodies (ANA) screening on HEp-2 cells. Patients and Methods : This study included 64 ANA-positive sera and 107 ANA-negative sera that underwent IIF on two commercial kits of HEp-2 cells (BioSystems® and Euroimmun®). IIF results were compared with a novel automated interpretation system, the “ Cyclopus CADImmuno®” (CAD). Results : All ANA-positive sera images were recognized as positive by CAD (sensitivity = 100%), while 17 (15.9%) of the ANA-negative sera ima…

Statistics and ProbabilityPathologymedicine.medical_specialtyIndirect immunofluorescenceAnti-nuclear antibodymedicine.diagnostic_testbusiness.industryConcordanceHealth InformaticsIIfImmunofluorescenceHealth Professions (miscellaneous)Settore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Continuous integrationPattern identificationAutoantibodies HEp-2 Immunofluorescence autoimmune diseases automated screening standardization.Health Information ManagementMedicineFine speckledbusinessInternational Journal of Statistics in Medical Research
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Lead-time and overdiagnosis estimation in neuroblastoma screening.

2003

In Germany, neuroblastoma is the most frequent extracranial solid childhood tumour. Its properties made it seem an ideal candidate for screening. A German trial assessed the effect of screening at one year of age from 1995-2001 in a nationwide project. We present here the methods developed for the estimation of lead-time and overdiagnosis in this project. Follow up on 1.5 million screened children and 2.1 million control children is currently available until June 2002. Ascertainment of control cohort cases and false negative cases is complete up to this date. A method for determining an empirical lead-time distribution and overdiagnosis estimate from comparing the age specific incidences in…

Statistics and ProbabilityPediatricsmedicine.medical_specialtyEpidemiologySensitivity and SpecificityCohort StudiesNeuroblastomaAge DistributionGermanyNeuroblastoma screeningBiomarkers TumorMedicineHumansMass ScreeningFalse Positive ReactionsOverdiagnosisMass screeningEstimationbusiness.industryIncidence (epidemiology)IncidenceInfantPopulation SurveillanceCohortbusinessLead timeDemographyCohort studyStatistics in medicine
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