0000000000112905

AUTHOR

G Gargano

showing 7 related works from this author

BRCA1 missense variants of uncertain clinical significance in unaffected and breast/ovarian cancer of the Sicilian population.

2006

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Bovine lactoferrin prevents invasive fungal infections in very low birth weight infants: a randomized controlled trial.

2011

Background: Lactoferrin is a mammalian milk glycoprotein involved in innate immunity. Recent data show that bovine lactoferrin (bLF) prevents late-onset sepsis in preterm very low birth weight (VLBW) neonates. Methods: This is a secondary analysis of data from a multicenter randomized controlled trial where preterm VLBW neonates randomly received bLF (100 mg/day; group A1), bLF + Lactobacillus rhamnosus GG (106 colony-forming units per day; group A2), or placebo (group B) for 6 weeks. Here we analyze the incidence rates of fungal colonization, invasive fungal infection (IFI), and rate of progression from colonization to infection in all groups. Results: This study included 472 neonates who…

fungal sepsisDiseasesInfant Premature DiseasesPediatricsGastroenterologylactoferrin; VLBW neonates; Candida; fungal sepsis; prophylaxisGroup BSettore MED/38 - Pediatria Generale E SpecialisticaAnti-Infective AgentsInfant Very Low Birth WeightCandidabiologyLactoferrinBovine lactoferrin fungal infections very low birth weight newbornsPerinatology and Child Healthlactoferrinprophylaxismedicine.symptomInfant Prematuremedicine.medical_specialtyFungal sepsisPlaceboSepsisLactobacillus rhamnosusIntolerancesInternal medicinemedicineAnimalsHumansfungal sepsiAdverse effectPrematureProphylaxisbusiness.industryVery Low Birth WeightProbioticsInfant NewbornInfantNewbornbiology.organism_classificationmedicine.diseaseLactoferrinLow birth weightMycosesVLBW neonatesPediatrics Perinatology and Child HealthImmunologyCandida; Fungal sepsis; Lactoferrin; Prophylaxis; VLBW neonates; Animals; Anti-Infective Agents; Cattle; Humans; Infant Newborn; Infant Premature; Infant Premature Diseases; Lactoferrin; Mycoses; Probiotics; Infant Very Low Birth Weight; Pediatrics Perinatology and Child Healthbiology.proteinCattlebusiness
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P16 ink4A, p53 alterations and S phase fraction are predictive of clinical outcome in laryngeal squamous cell carcinoma.

2006

LARYNGEAL CELL CARCINOMA
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Distributed medical images analysis on a Grid infrastructure

2007

In this paper medical applications on a Grid infrastructure, the MAGIC-5 Project, are presented and discussed. MAGIC-5 aims at developing Computer Aided Detection (CADe) software for the analysis of medical images on distributed databases by means of GRID Services. The use of automated systems for analyzing medical images improves radiologists’ performance; in addition, it could be of paramount importance in screening programs, due to the huge amount of data to check and the cost of related manpower. The need for acquiring and analyzing data stored in different locations requires the use of Grid Services for the management of distributed computing resources and data. Grid technologies allow…

GRID; Virtual Organization; Medical ApplicationsComputer Networks and CommunicationsComputer scienceVirtual organizationmammographyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONcomputer.software_genreGRID; virtual organization; CAD; mammography; medical applicationsSoftwareComputer aided diagnosimedicineMammographyCADComputer visionGridLung tumorDistributed databasemedicine.diagnostic_testmedical applicationsbusiness.industryDigital imagingGridDigital imagingHardware and ArchitectureImage analysiArtificial intelligenceData miningAlzheimer diseasevirtual organizationGRIDbusinesscomputerSoftwareMammography
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Work environment, volume of activity and staffing in neonatal intensive care units in Italy: results of the SONAR-nurse study

2016

Background Neonatal units’ volume of activity, and other quantitative and qualitative variables, such as staffing, workload, work environment, care organization and geographical location, may influence the outcome of high risk newborns. Data about the distribution of these variables and their relationships among Italian neonatal units are lacking. Methods Between March 2010-April 2011, 63 neonatal intensive care units adhering to the Italian Neonatal Network participated in the SONAR Nurse study. Their main features and work environment were investigated by questionnaires compiled by the chief and by physicians and nurses of each unit. Twelve cross-sectional monthly-repeated surveys on diff…

Cross-sectional studyStaffingWorkloadCritical Care NursingPediatrics03 medical and health sciences0302 clinical medicineSettore MED/38 - Pediatria Generale E SpecialisticaNursing030225 pediatricsIntensive careCritical care nursingSurveys and QuestionnairesNeonatalIntensive Care Units NeonatalMedicineHumansSurveys and Questionnaire030212 general & internal medicineLocationWorkplaceCross-Sectional Studiebusiness.industryResearchNurse-Patient RelationInfant NewbornPatient AcuityInfantWorkloadPatient AcuityPerinatology and Child HealthNewbornInfant Newborn; Intensive Care Units Neonatal; Nurse-Patient Relations; Patient Acuity; Workload; Cross-Sectional Studies; Humans; Infant Newborn; Intensive Care Units Neonatal; Italy; Surveys and Questionnaires; Critical Care Nursing; Pediatric Nursing; Workload; WorkplacePediatric NursingInfant Newborn; Intensive Care Units Neonatal; Nurse-Patient Relations; Patient Acuity; WorkloadIntensive Care UnitsCross-Sectional StudiesItalyWorkforceInfant; Intensive care units; Neonatal; Newborn; Nurse-patient relations; Patient acuity; Workload; Cross-Sectional Studies; Humans; Infant Newborn; Intensive Care Units Neonatal; Italy; Surveys and Questionnaires; Critical Care Nursing; Pediatric Nursing; Workload; Workplace; Pediatrics Perinatology and Child HealthPediatric nursingbusinessNurse-Patient RelationsHuman
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Q356R and S1512I are BRCA1 variants that may be associated with breast cancer in a Sicilian family.

2006

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A completely automated CAD system for mass detection in a large mammographic database.

2006

Mass localization plays a crucial role in computer-aided detection (CAD) systems for the classification of suspicious regions in mammograms. In this article we present a completely automated classification system for the detection of masses in digitized mammographic images. The tool system we discuss consists in three processing levels: (a) Image segmentation for the localization of regions of interest (ROIs). This step relies on an iterative dynamical threshold algorithm able to select iso-intensity closed contours around gray level maxima of the mammogram. (b) ROI characterization by means of textural features computed from the gray tone spatial dependence matrix (GTSDM), containing secon…

Databases FactualInformation Storage and RetrievalReproducibility of ResultsBreast NeoplasmsSensitivity and SpecificityNeural networkPattern Recognition AutomatedRadiographic Image EnhancementBreast cancerTextural featuresRadiology Information SystemsImage processingComputer-aided detection (CAD)Artificial IntelligenceCluster AnalysisDatabase Management SystemsHumansRadiographic Image Interpretation Computer-AssistedFemaleBreast cancer; Computer-aided detection (CAD); Image processing; Mammographic mass detection; Neural network; Textural featuresMammographic mass detectionAlgorithmsMammographyMedical physics
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