2024
Chapter 38 Cybersecurity and blockchain in cardiology
Hall E. Chapter 38 Cybersecurity and blockchain in cardiology. 2024, 367-370. DOI: 10.1016/b978-0-323-90534-3.00006-8.Peer-Reviewed Original Research
2023
Society 5.0 Healthcare: Ethics, Legal Rights, Human Rights, Safety and Security
Blenman K, Hull R, Maimela C, Molefi T, Khanyile R, Dlamini Z. Society 5.0 Healthcare: Ethics, Legal Rights, Human Rights, Safety and Security. 2023, 267-291. DOI: 10.1007/978-3-031-36461-7_12.Peer-Reviewed Original ResearchArtificial intelligenceInvasion of privacySmart digital technologiesViolation of privacyOutdated datasetsMobile devicesAI workPatient dataPrivacyNew technologiesVariety of solutionsDigital technologiesBiased dataLow resourcesGathering of informationLack of transparencySociety 5.0Intellectual propertyTechnologyDecision-making processMedical devicesPotential solutionsEase of analysisData collectionGathering
2022
Machine Learning in Cardiovascular Imaging: A Scoping Review of Published Literature
Rouzrokh P, Khosravi B, Vahdati S, Moassefi M, Faghani S, Mahmoudi E, Chalian H, Erickson B. Machine Learning in Cardiovascular Imaging: A Scoping Review of Published Literature. Current Radiology Reports 2022, 11: 34-45. PMID: 36531124, PMCID: PMC9742664, DOI: 10.1007/s40134-022-00407-8.Peer-Reviewed Original ResearchMachine learningHuman-like decision-makingArtificial intelligenceSubfield of artificial intelligenceObject detectionLots of roomCardiovascular imaging dataActive area of researchMedical imagesRegression applicationsHealthcare industryPerformance evaluationML modelsImage dataData handlingArea of researchIncorporating new technologiesMachineLearningImagesSummaryMLNew technologiesDecision-makingComputerIntelligencePhase 2 of extracellular RNA communication consortium charts next-generation approaches for extracellular RNA research
Mateescu B, Jones JC, Alexander RP, Alsop E, An JY, Asghari M, Boomgarden A, Bouchareychas L, Cayota A, Chang HC, Charest A, Chiu DT, Coffey RJ, Das S, De Hoff P, deMello A, D’Souza-Schorey C, Elashoff D, Eliato KR, Franklin JL, Galas DJ, Gerstein MB, Ghiran IH, Go DB, Gould S, Grogan TR, Higginbotham JN, Hladik F, Huang TJ, Huo X, Hutchins E, Jeppesen DK, Jovanovic-Talisman T, Kim BYS, Kim S, Kim KM, Kim Y, Kitchen RR, Knouse V, LaPlante EL, Lebrilla CB, Lee LJ, Lennon KM, Li G, Li F, Li T, Liu T, Liu Z, Maddox AL, McCarthy K, Meechoovet B, Maniya N, Meng Y, Milosavljevic A, Min BH, Morey A, Ng M, Nolan J, De Oliveira G, Paulaitis ME, Phu TA, Raffai RL, Reátegui E, Roth ME, Routenberg DA, Rozowsky J, Rufo J, Senapati S, Shachar S, Sharma H, Sood AK, Stavrakis S, Stürchler A, Tewari M, Tosar JP, Tucker-Schwartz AK, Turchinovich A, Valkov N, Van Keuren-Jensen K, Vickers KC, Vojtech L, Vreeland WN, Wang C, Wang K, Wang Z, Welsh JA, Witwer KW, Wong DTW, Xia J, Xie YH, Yang K, Zaborowski MP, Zhang C, Zhang Q, Zivkovic AM, Laurent LC. Phase 2 of extracellular RNA communication consortium charts next-generation approaches for extracellular RNA research. IScience 2022, 25: 104653. PMID: 35958027, PMCID: PMC9358052, DOI: 10.1016/j.isci.2022.104653.Peer-Reviewed Original Research
2019
Epilepsy Education: Recent Advances and Future Directions
Weber DJ, Moeller JJ. Epilepsy Education: Recent Advances and Future Directions. Current Neurology And Neuroscience Reports 2019, 19: 35. PMID: 31123986, DOI: 10.1007/s11910-019-0946-7.Peer-Reviewed Original ResearchConceptsCurrent teaching practicesPrinciples of educationTeaching practicesTeaching techniquesFuture doctorsMedical educationEducationFuture providersKnowledge baseOpportunitiesWider audienceBroad audienceResearch opportunitiesNew technologiesSummaryThe useFuture directionsAudienceTrainingPracticeKnowledgeTopicDate informationSuccessGoalCurrent literatureFrom Big Data to Precision Medicine
Hulsen T, Jamuar SS, Moody AR, Karnes JH, Varga O, Hedensted S, Spreafico R, Hafler DA, McKinney EF. From Big Data to Precision Medicine. Frontiers In Medicine 2019, 6: 34. PMID: 30881956, PMCID: PMC6405506, DOI: 10.3389/fmed.2019.00034.Peer-Reviewed Original ResearchBig dataLarge datasetsLarge volume informationElectronic health record miningLarge data volumesData analyticsVelocity of informationData contentRecords miningData scienceData volumeMedical researchersInterpretable modelsHypothesis-driven methodsData-driven hypothesesCollaborative networksAnalyticsAnalytic methodologyVolume informationDatasetImportant challengeNew technologiesHypothesis-generating researchConventional approachesData collectionFormation of Neoarteries with Optimal Remodeling Using Rapidly Degrading Textile Vascular Grafts
Fukunishi T, Ong CS, Lui C, Pitaktong I, Smoot C, Harris J, Gabriele P, Vricella L, Santhanam L, Lu S, Hibino N. Formation of Neoarteries with Optimal Remodeling Using Rapidly Degrading Textile Vascular Grafts. Tissue Engineering Part A 2019, 25: 632-641. PMID: 30382009, DOI: 10.1089/ten.tea.2018.0167.Peer-Reviewed Original Research
2016
Evaluation of relational and NoSQL database architectures to manage genomic annotations
Schulz WL, Nelson BG, Felker DK, Durant TJ, Torres R. Evaluation of relational and NoSQL database architectures to manage genomic annotations. Journal Of Biomedical Informatics 2016, 64: 288-295. PMID: 27810480, DOI: 10.1016/j.jbi.2016.10.015.Peer-Reviewed Original ResearchConceptsRelational databaseNoSQL databasesQuery efficiencyData managementData storageDocument-oriented NoSQL databaseBiomedical data setsCommon relational databaseQuery retrievalDatabase technologyInformatics infrastructureRelational modelGenomic annotationsIndexingData setsArchitectureRetrievalAnnotationNew technologiesDatabaseTechnologySignificant advantagesRelative advantagesInfrastructureStorageTwenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience
McDougal RA, Morse TM, Carnevale T, Marenco L, Wang R, Migliore M, Miller PL, Shepherd GM, Hines ML. Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience. Journal Of Computational Neuroscience 2016, 42: 1-10. PMID: 27629590, PMCID: PMC5279891, DOI: 10.1007/s10827-016-0623-7.Peer-Reviewed Original ResearchConceptsComputational neuroscience modelsHigh performance computationEssential modeling toolUser experienceData-based modelsPerformance computationModelDBGraphical toolUser-friendly databaseModeling toolsResearch topicNeuroscience modelsCollect dataNew challengesNeuron modelingConvenient venueMassive developmentComplex modelsNew technologiesLarge research groupsRunning modelFuture of neuroscienceUsersMultiple scalesModel of interest3D Printing of Organs for Transplantation: Where Are We and Where Are We Heading?
Munoz-Abraham A, Rodriguez-Davalos M, Bertacco A, Wengerter B, Geibel J, Mulligan D. 3D Printing of Organs for Transplantation: Where Are We and Where Are We Heading? Current Transplantation Reports 2016, 3: 93-99. DOI: 10.1007/s40472-016-0089-6.Peer-Reviewed Original Research
2014
New Technologies in Emergency Medical Services for Children
Gross T, Marcin J, Auerbach M, Middlebrooks L, Putzier P, Jaeger M, Abramo T. New Technologies in Emergency Medical Services for Children. Clinical Pediatric Emergency Medicine 2014, 15: 67-78. DOI: 10.1016/j.cpem.2014.01.009.Peer-Reviewed Original Research
2013
Privacy Technology to Support Data Sharing for Comparative Effectiveness Research
Jiang X, Sarwate A, Ohno-Machado L. Privacy Technology to Support Data Sharing for Comparative Effectiveness Research. Medical Care 2013, 51: s58-s65. PMID: 23774511, PMCID: PMC3728160, DOI: 10.1097/mlr.0b013e31829b1d10.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsData sharingPrivacy-preserving data sharingPrivacy-preserving technologiesEffective data sharingPrivacy technologiesData miningNetwork dataData typesThird-party expertsData tablesSpecific scenariosSharingInappropriate disclosurePractical evaluationPractical impactPatient dataNew technologiesTechnologyPrivacyComparative effectiveness researchMiningPractical toolCER studiesTextTime seriesA Graphics Processing Unit Accelerated Motion Correction Algorithm and Modular System for Real-time fMRI
Scheinost D, Hampson M, Qiu M, Bhawnani J, Constable RT, Papademetris X. A Graphics Processing Unit Accelerated Motion Correction Algorithm and Modular System for Real-time fMRI. Neuroinformatics 2013, 11: 291-300. PMID: 23319241, PMCID: PMC3644525, DOI: 10.1007/s12021-013-9176-3.Peer-Reviewed Case Reports and Technical NotesConceptsGraphics processing unitsNovel graphics processing unitMotion correction algorithmProcessing unitReal-time methodProcessing delayCorrection algorithmSystem designMotion correction strategiesOffline methodsAlgorithmAvailable softwareReal-time functional magnetic resonance imagingModular approachValuable featuresModular systemPresent algorithmReal-time fMRIMotion correctionMotion parametersSoftwareNew technologiesNew systemCorrection strategyEstimates of motion
2009
Aptamers generated by Cell SELEX for biomarker discovery
Kim Y, Liu C, Tan W. Aptamers generated by Cell SELEX for biomarker discovery. Biomarkers In Medicine 2009, 3: 193-202. PMID: 20477510, DOI: 10.2217/bmm.09.5.Peer-Reviewed Original Research
2000
Bioinformatics
Kaminski N. Bioinformatics. American Journal Of Respiratory Cell And Molecular Biology 2000, 23: 705-711. PMID: 11104721, DOI: 10.1165/ajrcmb.23.6.4291.Peer-Reviewed Original ResearchConceptsInformation overloadApplication of computersOverview of bioinformaticsData managementGlobal gene expression patternsUser's pointInternet connectionGenomic sequence informationGene expression patternsAvailable bioinformatics toolsAnalysis toolsBioinformaticsBioinformatics toolsModern biologySequence informationExpression patternsComputerMolecular biology labNew technologiesComputational methodsWide availabilityBiology labsRapid accumulationGeneral approachDatabaseImplementation of a practical digital imaging system for routine gross photography in an autopsy environment.
Belanger A, Lopes A, Sinard J. Implementation of a practical digital imaging system for routine gross photography in an autopsy environment. Archives Of Pathology & Laboratory Medicine 2000, 124: 160-5. PMID: 10629152, DOI: 10.5858/2000-124-0160-ioapdi.Peer-Reviewed Original Research
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