{"id":"https://openalex.org/W7159977082","doi":"https://doi.org/10.1038/s41746-026-02662-x","title":"Anonymization and visualization of health data and biomarkers","display_name":"Anonymization and visualization of health data and biomarkers","publication_year":2026,"publication_date":"2026-05-02","ids":{"openalex":"https://openalex.org/W7159977082","doi":"https://doi.org/10.1038/s41746-026-02662-x","pmid":"https://pubmed.ncbi.nlm.nih.gov/42069937"},"language":"en","primary_location":{"id":"doi:10.1038/s41746-026-02662-x","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-026-02662-x","pdf_url":"https://www.nature.com/articles/s41746-026-02662-x.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41746-026-02662-x.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063734949","display_name":"Minh H. Vu","orcid":"https://orcid.org/0000-0002-2391-1419"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Minh H. Vu","raw_affiliation_strings":["Department of Diagnostics and Intervention, Ume\u00e5 University, Ume\u00e5, Sweden. minh.vu@umu.se"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Diagnostics and Intervention, Ume\u00e5 University, Ume\u00e5, Sweden. minh.vu@umu.se","institution_ids":["https://openalex.org/I90267481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006478741","display_name":"Daniel Edler","orcid":"https://orcid.org/0000-0001-5420-0591"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Daniel Edler","raw_affiliation_strings":["IceLab, Department of Physics, Ume\u00e5 University, Ume\u00e5, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IceLab, Department of Physics, Ume\u00e5 University, Ume\u00e5, Sweden","institution_ids":["https://openalex.org/I90267481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012803389","display_name":"Carl Wibom","orcid":"https://orcid.org/0000-0001-8851-2905"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Carl Wibom","raw_affiliation_strings":["Department of Diagnostics and Intervention, Ume\u00e5 University, Ume\u00e5, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Diagnostics and Intervention, Ume\u00e5 University, Ume\u00e5, Sweden","institution_ids":["https://openalex.org/I90267481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038697749","display_name":"Martin Rosvall","orcid":"https://orcid.org/0000-0002-7181-9940"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Martin Rosvall","raw_affiliation_strings":["IceLab, Department of Physics, Ume\u00e5 University, Ume\u00e5, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IceLab, Department of Physics, Ume\u00e5 University, Ume\u00e5, Sweden","institution_ids":["https://openalex.org/I90267481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135082087","display_name":"Beatrice Melin","orcid":null},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Beatrice Melin","raw_affiliation_strings":["Department of Diagnostics and Intervention, Ume\u00e5 University, Ume\u00e5, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Diagnostics and Intervention, Ume\u00e5 University, Ume\u00e5, Sweden","institution_ids":["https://openalex.org/I90267481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063734949"],"corresponding_institution_ids":["https://openalex.org/I90267481"],"apc_list":{"value":3060,"currency":"USD","value_usd":3060},"apc_paid":{"value":3060,"currency":"USD","value_usd":3060},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61897499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.44670000672340393,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.44670000672340393,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.24789999425411224,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.03840000182390213,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/biobank","display_name":"Biobank","score":0.8410000205039978},{"id":"https://openalex.org/keywords/data-anonymization","display_name":"Data anonymization","score":0.6139000058174133},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5946999788284302},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5235000252723694},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5139999985694885},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5127999782562256},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.4869000017642975},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4578000009059906},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44600000977516174}],"concepts":[{"id":"https://openalex.org/C116567970","wikidata":"https://www.wikidata.org/wiki/Q864217","display_name":"Biobank","level":2,"score":0.8410000205039978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8213000297546387},{"id":"https://openalex.org/C2776945810","wikidata":"https://www.wikidata.org/wiki/Q17006654","display_name":"Data anonymization","level":3,"score":0.6139000058174133},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5946999788284302},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5717999935150146},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5235000252723694},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5139999985694885},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5127999782562256},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.4869000017642975},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4578000009059906},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44600000977516174},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4293000102043152},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41670000553131104},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.415800005197525},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4131999909877777},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3887999951839447},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.35440000891685486},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.353300005197525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3517000079154968},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3440000116825104},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.32019999623298645},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.27880001068115234},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.2565999925136566},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2549999952316284}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1038/s41746-026-02662-x","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-026-02662-x","pdf_url":"https://www.nature.com/articles/s41746-026-02662-x.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},{"id":"pmid:42069937","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42069937","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NPJ digital medicine","raw_type":null},{"id":"pmh:oai:DiVA.org:umu-253741","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-253741","pdf_url":null,"source":{"id":"https://openalex.org/S4306400653","display_name":"Diva portal (Dalarna University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:1667669b690e4039bffbfd110287eecd","is_oa":true,"landing_page_url":"https://doaj.org/article/1667669b690e4039bffbfd110287eecd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"npj Digital Medicine, Vol 9, Iss 1 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13135499","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13135499/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"NPJ Digit Med","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1038/s41746-026-02662-x","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-026-02662-x","pdf_url":"https://www.nature.com/articles/s41746-026-02662-x.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1364868472","display_name":null,"funder_award_id":"2018-05973","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"},{"id":"https://openalex.org/G2745182851","display_name":null,"funder_award_id":"24 3406 Pj 01 H","funder_id":"https://openalex.org/F4320313607","funder_display_name":"Swedish Cancer Foundation"},{"id":"https://openalex.org/G3321450376","display_name":null,"funder_award_id":"05973","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"},{"id":"https://openalex.org/G3582365513","display_name":null,"funder_award_id":"2022-06725","funder_id":"https://openalex.org/F4320322971","funder_display_name":"Ume\u00e5 Universitet"},{"id":"https://openalex.org/G633570985","display_name":null,"funder_award_id":"2018-05973","funder_id":"https://openalex.org/F4320322971","funder_display_name":"Ume\u00e5 Universitet"},{"id":"https://openalex.org/G712881263","display_name":null,"funder_award_id":"2018-","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"},{"id":"https://openalex.org/G863032625","display_name":null,"funder_award_id":"2023-03705","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"},{"id":"https://openalex.org/G8869864247","display_name":null,"funder_award_id":"2022-06725","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"}],"funders":[{"id":"https://openalex.org/F4320313607","display_name":"Swedish Cancer Foundation","ror":null},{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"},{"id":"https://openalex.org/F4320322971","display_name":"Ume\u00e5 Universitet","ror":"https://ror.org/05kb8h459"},{"id":"https://openalex.org/F4320336376","display_name":"Uppsala Multidisciplinary Center for Advanced Computational Science","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7159977082.pdf","grobid_xml":"https://content.openalex.org/works/W7159977082.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Access":[0],"to":[1],"large,":[2],"diverse":[3,84],"biomedical":[4],"datasets":[5,86,128],"is":[6],"critical":[7],"for":[8,24,44],"advancing":[9],"medical":[10],"research,":[11],"yet":[12],"privacy":[13,41,48,79],"regulations":[14],"severely":[15],"restrict":[16],"data":[17,27],"sharing.":[18],"We":[19],"present":[20],"an":[21],"end-to-end":[22],"framework":[23,66,134],"privacy-preserving":[25],"health":[26],"synthesis":[28],"that":[29,88,136],"integrates":[30],"advanced":[31],"deep":[32],"generative":[33],"models":[34],"(DGMs)":[35],"with":[36,93,138],"robust":[37],"preprocessing,":[38],"formal":[39],"differential":[40],"(DP)":[42],"training":[43],"select":[45],"DGMs,":[46],"empirical":[47],"risk":[49],"evaluation,":[50],"data-sufficiency":[51],"analysis,":[52],"domain-guided":[53],"quality":[54],"control,":[55],"and":[56,78,106,122,140,153],"biobank":[57,85,127],"visualization":[58],"tools.":[59],"Released":[60],"as":[61],"open-source":[62],"containerized":[63],"software,":[64],"the":[65,133],"ensures":[67],"reproducible":[68],"deployment":[69],"while":[70],"preserving":[71],"statistical":[72],"fidelity,":[73,104,151],"machine":[74],"learning":[75],"(ML)":[76],"utility,":[77],"guarantees.":[80],"Empirical":[81],"evaluations":[82],"across":[83],"demonstrate":[87],"TabSyn-a":[89],"transformer-based":[90],"diffusion":[91],"model-combined":[92],"our":[94],"correlation-and":[95],"distribution-aware":[96,141],"CorrDst":[97],"loss":[98,142],"function":[99,143],"achieves":[100,145],"superior":[101,146],"performance":[102,147],"balancing":[103],"privacy,":[105,152],"computational":[107,154],"efficiency.":[108,155],"The":[109],"tailored":[110],"preprocessing":[111],"pipeline":[112],"effectively":[113],"handles":[114],"high":[115],"missingness":[116],"rates,":[117],"substantially":[118],"improving":[119],"distributional":[120],"accuracy":[121],"clinical":[123],"plausibility.":[124],"Across":[125],"26":[126],"spanning":[129],"three":[130],"regulatory":[131],"levels,":[132],"shows":[135],"TabSyn":[137],"correlation-":[139],"consistently":[144],"in":[148],"terms":[149],"of":[150]},"counts_by_year":[],"updated_date":"2026-06-20T20:08:15.867695","created_date":"2026-05-04T00:00:00"}
