2022
Quorum-based model learning on a blockchain hierarchical clinical research network using smart contracts
Kuo T, Pham A. Quorum-based model learning on a blockchain hierarchical clinical research network using smart contracts. International Journal Of Medical Informatics 2022, 169: 104924. PMID: 36402113, PMCID: PMC9984225, DOI: 10.1016/j.ijmedinf.2022.104924.Peer-Reviewed Original ResearchConceptsSmart contractsPrivacy-preserving modelHierarchical learning algorithmBlockchain smart contractsProtect patient privacyLearning algorithmsNetwork of networksConsensus protocolModeling processPatient privacyQuorum mechanismHierarchical networkAvailability issuesNetworkPrediction correctnessIterative phasesPrediction modelPrivacyImmutabilityCapabilityHealthcare institutionsAlgorithmDatasetIterationLearning continuityThe evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition
Kuo T, Jiang X, Tang H, Wang X, Harmanci A, Kim M, Post K, Bu D, Bath T, Kim J, Liu W, Chen H, Ohno-Machado L. The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition. Journal Of The American Medical Informatics Association 2022, 29: 2182-2190. PMID: 36164820, PMCID: PMC9667175, DOI: 10.1093/jamia/ocac165.Peer-Reviewed Original ResearchConceptsSensitive personal informationGenomic data analysisPotential future research directionsPersonal informationSecurity concernsGenomics data repositoryData repositoryReport lessonsProtection techniquesFuture research directionsPrivacyResearch directionsData usePractical challengesGenomic dataData analysisAnonymizationCommunity effortsRepositorySecurityBiomedical researchInformationDataChallenges
2021
Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track
Kuo T, Bath T, Ma S, Pattengale N, Yang M, Cao Y, Hudson C, Kim J, Post K, Xiong L, Ohno-Machado L. Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track. International Journal Of Medical Informatics 2021, 154: 104559. PMID: 34474309, PMCID: PMC9933142, DOI: 10.1016/j.ijmedinf.2021.104559.Peer-Reviewed Original ResearchConceptsSecure genome analysis competitionData retrieval queriesBlockchain-based methodData sharing methodReal-world problemsQuery indexType of sharingRetrieval queriesBlockchain technologyLedger technologySource codeBlockchain utilizationBlockchain strategyHealthcare applicationsInteraction recordsSharing methodTest datasetSharing recordsBiomedical research applicationsConsortium resourcesNew platformPatient recordsBlockchainQueriesTechnology
2020
EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning
Kuo T, Gabriel R, Cidambi K, Ohno-Machado L. EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning. Journal Of The American Medical Informatics Association 2020, 27: 747-756. PMID: 32364235, PMCID: PMC7309256, DOI: 10.1093/jamia/ocaa023.Peer-Reviewed Original ResearchConceptsBlockchain technologyCentral serverServer-based methodBenefits of blockchainData protection policiesCentralized serverArtificial intelligenceModel learningDecentralized approachSmall datasetsBlockchainServerComputation strategySingle pointGeneralizable modelCost of efficiencyGenomic datasetsDatasetDistributed modelTechnologyGenomic dataMultiple institutionsDiscrimination powerIntelligencePotential advantages/disadvantagesPrivacy-preserving model learning on a blockchain network-of-networks
Kuo T, Kim J, Gabriel R. Privacy-preserving model learning on a blockchain network-of-networks. Journal Of The American Medical Informatics Association 2020, 27: 343-354. PMID: 31943009, PMCID: PMC7025358, DOI: 10.1093/jamia/ocz214.Peer-Reviewed Original ResearchConceptsNetwork topologyExecution timeArt methodsPredictive correctnessPrivacy-preserving learningPrivacy-preserving methodsPrivacy-preserving modelSmall training datasetBlockchain networkBlockchain platformBlockchain technologyPrivacy concernsModel learningComplex dataLearning iterationsLearning methodsTraining datasetConsensus algorithmGeneralizable predictive modelsCorrectness resultsModel disseminationHierarchical networkSmall dataHierarchical approachRecord model
2019
Fair compute loads enabled by blockchain: sharing models by alternating client and server roles
Kuo T, Gabriel R, Ohno-Machado L. Fair compute loads enabled by blockchain: sharing models by alternating client and server roles. Journal Of The American Medical Informatics Association 2019, 26: 392-403. PMID: 30892656, PMCID: PMC7787356, DOI: 10.1093/jamia/ocy180.Peer-Reviewed Original Research