2024
Privacy-Enhancing Technologies in Biomedical Data Science
Cho H, Froelicher D, Dokmai N, Nandi A, Sadhuka S, Hong M, Berger B. Privacy-Enhancing Technologies in Biomedical Data Science. Annual Review Of Biomedical Data Science 2024, 7: 317-343. PMID: 39178425, PMCID: PMC11346580, DOI: 10.1146/annurev-biodatasci-120423-120107.Peer-Reviewed Original ResearchMeSH KeywordsBiomedical ResearchComputer SecurityConfidentialityData ScienceHumansInformation DisseminationPrivacyConceptsPrivacy-enhancing technologiesAdoption of privacy-enhancing technologiesBiomedical data scienceData scienceAnalyze sensitive dataBiomedical data repositoriesPrivacy protectionSensitive dataPrivacy concernsData silosProtect privacyHuman subject dataBiomedical domainData repositoriesPrivacySubjective dataConventional framework
2021
Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption
Froelicher D, Troncoso-Pastoriza J, Raisaro J, Cuendet M, Sousa J, Cho H, Berger B, Fellay J, Hubaux J. Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption. Nature Communications 2021, 12: 5910. PMID: 34635645, PMCID: PMC8505638, DOI: 10.1038/s41467-021-25972-y.Peer-Reviewed Original ResearchConceptsMultiparty homomorphic encryptionHomomorphic encryptionPrivacy-preserving analysisNecessary key stepMultiple healthcare institutionsFederated analyticsFederated settingAnalysis tasksAnalytics systemIntermediate dataEncryptionCentralized studiesPatient dataBiomedical insightsScientific collaborationAccurate resultsIndispensable complementAnalyticsHealthcare institutionsDatasetTaskSystemBiomedical researchAccessCollaboration
2018
Secure genome-wide association analysis using multiparty computation
Cho H, Wu D, Berger B. Secure genome-wide association analysis using multiparty computation. Nature Biotechnology 2018, 36: 547-551. PMID: 29734293, PMCID: PMC5990440, DOI: 10.1038/nbt.4108.Peer-Reviewed Original Research