Search results for " Database"

showing 10 items of 684 documents

Rings for Privacy: an Architecture for Large Scale Privacy-Preserving Data Mining

2021

This article proposes a new architecture for privacy-preserving data mining based on Multi Party Computation (MPC) and secure sums. While traditional MPC approaches rely on a small number of aggregation peers replacing a centralized trusted entity, the current study puts forth a distributed solution that involves all data sources in the aggregation process, with the help of a single server for storing intermediate results. A large-scale scenario is examined and the possibility that data become inaccessible during the aggregation process is considered, a possibility that traditional schemes often neglect. Here, it is explicitly examined, as it might be provoked by intermittent network connec…

020203 distributed computingInformation privacyDistributed databasesDistributed databaseSettore ING-INF/03 - TelecomunicazioniComputer scienceReliability (computer networking)Secure Multi-Party Computation02 engineering and technologycomputer.software_genreSecret sharingData Mining; Data privacy; Distributed databases; Peer-to-peer computing; Secret sharing; Secure Multi-Party ComputationComputational Theory and MathematicsHardware and ArchitectureServerSignal Processing0202 electrical engineering electronic engineering information engineeringSecure multi-party computationData MiningData miningPeer-to-peer computingC-means data mining Privacy secret sharing secure multi-party computationSecret sharingcomputerData privacy
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Hypomethylating agents in relapsed and refractory AML: outcomes and their predictors in a large international patient cohort.

2018

Although hypomethylating agents (HMAs) are frequently used in the frontline treatment of older acute myeloid leukemia (AML) patients, little is known about their effectiveness in relapsed or primary treatment–refractory (RR)-AML. Using an international multicenter retrospective database, we studied the effectiveness of HMAs in RR-AML and evaluated for predictors of response and overall survival (OS). A total of 655 patients from 12 centers received azacitidine (57%) or decitabine (43%), including 290 refractory (44%) and 365 relapsed (56%) patients. Median age at diagnosis was 65 years. Best response to HMAs was complete remission (CR; 11%) or CR with incomplete count recovery (CRi; 5.3%). …

0301 basic medicineAdultmedicine.medical_specialtyAntimetabolites AntineoplasticMyeloidAdolescentDatabases FactualAzacitidineDecitabineSalvage therapyDecitabineCohort Studies03 medical and health sciencesYoung Adult0302 clinical medicineRefractoryInternal medicinehemic and lymphatic diseasesmedicineHumansSurvival analysisAgedRetrospective StudiesAged 80 and overSalvage TherapyMyeloid Neoplasiabusiness.industryRemission InductionRetrospective cohort studyHematologyDNA MethylationMiddle Agedmedicine.diseasePrognosisSurvival AnalysisLeukemiaLeukemia Myeloid Acute030104 developmental biologymedicine.anatomical_structureTreatment Outcome030220 oncology & carcinogenesisAdolescent; Adult; Aged; Aged 80 and over; Antimetabolites Antineoplastic; Cohort Studies; DNA Methylation; Databases Factual; Decitabine; Humans; Leukemia Myeloid Acute; Middle Aged; Prognosis; Remission Induction; Retrospective Studies; Salvage Therapy; Survival Analysis; Treatment Outcome; Young Adultbusinessmedicine.drug
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Spectrum of mutations in Italian patients with familial hypercholesterolemia: New results from the LIPIGEN study

2017

Abstract Background Familial hypercholesterolemia (FH) is an autosomal dominant disease characterized by elevated plasma levels of LDL-cholesterol that confers an increased risk of premature atherosclerotic cardiovascular disease. Early identification and treatment of FH patients can improve prognosis and reduce the burden of cardiovascular mortality. Aim of this study was to perform the mutational analysis of FH patients identified through a collaboration of 20 Lipid Clinics in Italy (LIPIGEN Study). Methods We recruited 1592 individuals with a clinical diagnosis of definite or probable FH according to the Dutch Lipid Clinic Network criteria. We performed a parallel sequencing of the major…

0301 basic medicineApolipoprotein ECandidate geneSettore MED/09 - Medicina InternaDatabases FactualApolipoprotein BDNA Mutational AnalysisFamilial hypercholesterolemia030204 cardiovascular system & hematologyCompound heterozygosityPCSK90302 clinical medicineRisk FactorsReceptorsGeneticsHomozygoteAutosomal dominant traitPathogenic variantsGeneral MedicinePrognosisAPOB; Familial hypercholesterolemia; LDLR; PCSK9; Pathogenic variantsCholesterolPhenotypeItalyAutosomal Recessive HypercholesterolemiaApolipoprotein B-100lipids (amino acids peptides and proteins)Proprotein Convertase 9APOBCardiology and Cardiovascular MedicinePreliminary DataGenetic MarkersFamilial hypercholesterolemiaLDLRPCSK9APOBPathogenic variantsHeterozygoteFamilial hypercholesterolemiaBiologyPathogenic variantLDLHyperlipoproteinemia Type II03 medical and health sciencesDatabasesmedicineInternal MedicineHumansAPOB; Familial hypercholesterolemia; LDLR; Pathogenic variants; PCSK9; Internal Medicine; Cardiology and Cardiovascular MedicineGenetic Predisposition to DiseaseFactualPCSK9Settore MED/13 - ENDOCRINOLOGIAAPOB; Familial hypercholesterolemia; LDLR; Pathogenic variants; PCSK9; Cardiology and Cardiovascular Medicine; Internal Medicinemedicine.diseaseAtherosclerosis030104 developmental biologyLDLRReceptors LDLMutationbiology.proteinAPOB; Familial hypercholesterolemia; LDLR; Pathogenic variants; PCSK9; Apolipoprotein B-100; Atherosclerosis; Cholesterol; DNA Mutational Analysis; Databases Factual; Genetic Markers; Genetic Predisposition to Disease; Heterozygote; Homozygote; Humans; Hyperlipoproteinemia Type II; Italy; Phenotype; Preliminary Data; Prognosis; Proprotein Convertase 9; Receptors LDL; Risk Factors; Mutation; Internal Medicine; Cardiology and Cardiovascular Medicine
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Exceptional Pattern Discovery

2017

This chapter is devoted to a discussion on exceptional pattern discovery, namely on scenarios, contexts, and techniques concerning the mining of patterns which are so rare or so frequent to be considered as exceptional and, then, of interest for an expert to shed lights on the domain. Frequent patterns have found broad applications in areas like association rule mining, indexing, and clustering [1, 20, 23]. The application of frequent patterns in classification also achieved some success in the classification of relational data [6, 13, 14, 19, 25], text [15], and graphs [7]. The part is organized as follows. First, the frequent pattern mining on classical datasets is presented. This is not …

0301 basic medicineBiological dataPoint (typography)Association rule learningComputer scienceRelational databasebusiness.industrySearch engine indexingcomputer.software_genreDomain (software engineering)Network pattern03 medical and health sciences030104 developmental biology0302 clinical medicineArtificial intelligenceCluster analysisbusinesscomputer030217 neurology & neurosurgeryNatural language processing
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Comparing Targeted vs. Untargeted MS2 Data-Dependent Acquisition for Peak Annotation in LC-MS Metabolomics

2020

One of the most widely used strategies for metabolite annotation in untargeted LCMS is based on the analysis of MSn spectra acquired using data-dependent acquisition (DDA), where precursor ions are sequentially selected from MS scans based on user-selected criteria. However, the number of MSn spectra that can be acquired during a chromatogram is limited and a trade-off between analytical speed, sensitivity and coverage must be ensured. In this research, we compare four different strategies for automated MS2 DDA, which can be easily implemented in the frame of standard QA/QC workflows for untargeted LC&ndash

0301 basic medicineBioquímicaBiologiaComputer scienceEndocrinology Diabetes and Metabolismlcsh:QR1-50201 natural sciencesBiochemistryliquid chromatography–mass spectrometryArticlelcsh:Microbiology03 medical and health sciencesAnnotationMetabolomicsLiquid chromatography–mass spectrometrypeak annotationMolecular BiologyData dependentliquid chromatography-mass spectrometrydata dependent acquisitionbusiness.industry010401 analytical chemistryhuman milkPattern recognition0104 chemical sciencesWorking range030104 developmental biologyFeature (computer vision)Reference databaseArtificial intelligencebusinessMETABOLIC FEATURES
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Familial hypercholesterolemia: The Italian Atherosclerosis Society Network (LIPIGEN)

2017

Background and aims: Primary dyslipidemias are a heterogeneous group of disorders characterized by abnormal levels of circulating lipoproteins. Among them, familial hypercholesterolemia is the most common lipid disorder that predisposes for premature cardiovascular disease. We set up an Italian nationwide network aimed at facilitating the clinical and genetic diagnosis of genetic dyslipidemias named LIPIGEN (LIpid TransPort Disorders Italian GEnetic Network). Methods: Observational, multicenter, retrospective and prospective study involving about 40 Italian clinical centers. Genetic testing of the appropriate candidate genes at one of six molecular diagnostic laboratories serving as nationw…

0301 basic medicineCandidate geneGenetic testingSettore MED/09 - Medicina InternaDatabases FactualDNA Mutational AnalysisDiseaseFamilial hypercholesterolemia030204 cardiovascular system & hematology0302 clinical medicineDyslipidemias; Genetic testing; National network; Internal Medicine; Cardiology and Cardiovascular MedicineRisk FactorsProspective StudiesProgram DevelopmentProspective cohort studymedicine.diagnostic_testGeneral MedicinePrognosisCholesterolPhenotypeItalyCardiology and Cardiovascular MedicineGenetic Markersmedicine.medical_specialtyNational networkDyslipidemias; Genetic testing; National networkMEDLINEHyperlipoproteinemia Type II03 medical and health sciencesDatabasesInternal medicinemedicineInternal MedicineHumansGenetic Predisposition to DiseaseFactualGenetic testingRetrospective StudiesDyslipidemiasbusiness.industrySettore MED/13 - ENDOCRINOLOGIARetrospective cohort studymedicine.diseaseAtherosclerosisDyslipidemias; Genetic testing; National network; Atherosclerosis; Cholesterol; DNA Mutational Analysis; Databases Factual; Genetic Markers; Genetic Predisposition to Disease; Humans; Hyperlipoproteinemia Type II; Italy; Phenotype; Prognosis; Program Development; Prospective Studies; Retrospective Studies; Risk Factors; Mutation; Internal Medicine; Cardiology and Cardiovascular Medicine030104 developmental biologyEndocrinologyDyslipidemiaGenetic markerMutationbusiness
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Allele frequencies distribution of 16 forensic STR loci in a Western Sicilian population sample

2017

Abstract The PowerPlex® ESI 17 Fast and ESX 17 Fast Systems represent faster cycling versions released by Promega® to follow the requirements of ENFSI and EDNAP groups’ for new STR genotyping systems in Europe. Allele frequencies and forensic parameters were estimated in a population sample of 120 unrelated healthy individuals living in Sicily (Western Sicilian population sample) using PowerPlex® ESI 17 Fast and PowerPlex® 17 Fast Systems. Full concordance of the results for both systems was observed. No significant deviation from Hardy-Weinberg equilibrium was detected. The observed heterozygosity changed from 0.85833 for FGA to 0.95 for TH01. The combined power of discrimination for the 1…

0301 basic medicineDNA databaseHealth (social science)Population sampleConcordance2734BiologyStrPathology and Forensic MedicineAllele frequenciePowerPlexLoss of heterozygosity03 medical and health sciencesSettore MED/43 - Medicina LegaleItalian populationlcsh:Law in general. Comparative and uniform law. JurisprudenceGenotypingAllele frequencyGeneticslcsh:R5-920Allele frequencies; DNA database; Italian population; PowerPlex; Str; 2734; Health (social science); LawAllele frequencieslanguage.human_languageForensic science030104 developmental biologylcsh:K1-7720Str locilanguagelcsh:Medicine (General)SicilianLaw
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Fruit and vegetable consumption and health outcomes: an umbrella review of observational studies

2019

The aim of this study was to provide a comprehensive evaluation of current evidence on fruit and vegetable consumption and health outcomes. A systematic search for quantitative syntheses was performed. Several criteria, including study design, dose-response relationship, heterogeneity and agreement of results over time, and identification of potential confounding factors, were used to assess the level of evidence. The strongest (probable) evidence was found for cardiovascular disease protection; possible evidence for decreased risk of colon cancer, depression and pancreatic diseases was found for fruit intake; and colon and rectal cancer, hip fracture, stroke, depression and pancreatic dise…

0301 basic medicineDatabases FactualColorectal cancerHealth BehaviorDiseasemeta-analysiCOLORECTAL-CANCER0302 clinical medicineRisk FactorsVegetablesMedicinevegetableSettore MED/49 - Scienze Tecniche Dietetiche ApplicateDepression (differential diagnoses)Randomized Controlled Trials as TopicMOLECULAR-MECHANISMSDepressionCOLON-CANCERConfoundingcohort study; evidence; Fruit; meta-analysis; umbrella review; vegetable; Food Sciencecohort study; evidence; Fruit; meta-analysis; umbrella review; vegetable; Cardiovascular Diseases; Colonic Neoplasms; Databases Factual; Depression; Diet Healthy; Health Behavior; Humans; Observational Studies as Topic; Pancreatic Diseases; Randomized Controlled Trials as Topic; Risk Factors; Fruit; VegetablesObservational Studies as TopicCardiovascular DiseasesMeta-analysisColonic NeoplasmsDiet HealthyCohort studyCANCER-RISKBLADDER-CANCER030209 endocrinology & metabolismDIETARY POLYPHENOLSDatabases03 medical and health sciencesLUNG-CANCEREnvironmental healthcohort studyHumansCORONARY-HEART-DISEASEFactualHealthy030109 nutrition & dieteticsumbrella reviewbusiness.industryevidencePancreatic DiseasesEvidence-based medicinemedicine.diseaseDietmeta-analysisFruitObservational studyDOSE-RESPONSE METAANALYSISbusinessGASTRIC-CANCERFood Science
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Reactome graph database: Efficient access to complex pathway data

2018

Reactome is a free, open-source, open-data, curated and peer-reviewed knowledgebase of biomolecular pathways. One of its main priorities is to provide easy and efficient access to its high quality curated data. At present, biological pathway databases typically store their contents in relational databases. This limits access efficiency because there are performance issues associated with queries traversing highly interconnected data. The same data in a graph database can be queried more efficiently. Here we present the rationale behind the adoption of a graph database (Neo4j) as well as the new ContentService (REST API) that provides access to these data. The Neo4j graph database and its qu…

0301 basic medicineDatabases FactualComputer scienceData managementKnowledge BasesSocial SciencesInformation Storage and RetrievalNoSQLcomputer.software_genreComputer ApplicationsDatabase and Informatics MethodsUser-Computer Interface0302 clinical medicineKnowledge extractionPsychologyDatabase Searchinglcsh:QH301-705.5Data ManagementLanguageBiological dataEcologySystems BiologyGenomicsGenomic DatabasesComputational Theory and MathematicsModeling and SimulationWeb-Based ApplicationsGraph (abstract data type)Information TechnologyResearch ArticleComputer and Information SciencesRelational databaseQuery languageResearch and Analysis MethodsEcosystems03 medical and health sciencesCellular and Molecular NeuroscienceDatabasesGeneticsComputer GraphicsHumansMolecular BiologyEcology Evolution Behavior and SystematicsInternetInformation retrievalGraph databasebusiness.industryEcology and Environmental SciencesCognitive PsychologyBiology and Life SciencesComputational BiologyGenome AnalysisRelational Databases030104 developmental biologyBiological Databaseslcsh:Biology (General)Cognitive Sciencebusinesscomputer030217 neurology & neurosurgerySoftwareNeurosciencePLoS Computational Biology
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Fishing anti-inflammatories from known drugs: In silico repurposing, design, synthesis and biological evaluation of bisacodyl analogues

2017

Herein is described in silico repositioning, design, synthesis, biological evaluation and structure-activity relationship (SAR) of an original class of anti-inflammatory agents based on a polyaromatic pharmacophore structurally related to bisacodyl (BSL) drug used in therapeutic as laxative. We describe the potential of TOMOCOMD-CARDD methods to find out new anti-inflammatory drug-like agents from a diverse series of compounds using the total and local atom based bilinear indices as molecular descriptors. The models obtained were validated by biological studies, identifying BSL as the first anti-inflammatory lead-like using in silico repurposing from commercially available drugs. Several bi…

0301 basic medicineDrugBisacodylAnti-inflammatory databasemedia_common.quotation_subjectIn silico[CHIM.THER]Chemical Sciences/Medicinal Chemistry03 medical and health sciencesIn vivoMolecular descriptorDrug DiscoveryDiarylmethylpyridinesmedicine[CHIM.CRIS]Chemical Sciences/CristallographyBisacodylRepurposingComputingMilieux_MISCELLANEOUSmedia_commonAnti-inflammatory assayChemistry[CHIM.ORGA]Chemical Sciences/Organic chemistryGeneral MedicineCombinatorial chemistry[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]3. Good health030104 developmental biologyMechanism of actionAtom-based bilinear indicesmedicine.symptomPharmacophoreTOMOCOMD-CARDD SoftwareRepurposingmedicine.drug
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