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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37207
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dc.contributor.authorMahajan, Arjunen_UK
dc.contributor.authorPowell, Dylanen_UK
dc.date.accessioned2025-07-16T00:06:00Z-
dc.date.available2025-07-16T00:06:00Z-
dc.date.issued2025-01-15en_UK
dc.identifier.other31en_UK
dc.identifier.urihttp://hdl.handle.net/1893/37207-
dc.description.abstractEnabled by the rapid rise in data collected by technologies, Digital Biomarkers (DBx) have emerged as a novel mechanism for assessment, diagnosis, and monitoring. However, the exponential growth and ability to generate new data has also raised questions about ways of ensuring the authenticity and accuracy of digital data. A recent study highlights how Large Language Models (LLMs) generating human-like content amplify these risks, and propose watermarking as a scalable solution to ensure data integrity. This article examines the potential of digital watermarking to help safeguard the reliability and provenance of DBx data, whilst also addressing broader challenges in health systems.en_UK
dc.language.isoenen_UK
dc.publisherSpringer Science and Business Media LLCen_UK
dc.relationMahajan A & Powell D (2025) Improving authenticity and provenance in digital biomarkers: the case for digital watermarking. <i>npj Digital Medicine</i>, 8, Art. No.: 31. https://doi.org/10.1038/s41746-024-01374-4en_UK
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.titleImproving authenticity and provenance in digital biomarkers: the case for digital watermarkingen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1038/s41746-024-01374-4en_UK
dc.identifier.pmid39814830en_UK
dc.citation.jtitlenpj Digital Medicineen_UK
dc.citation.issn2398-6352en_UK
dc.citation.issn2398-6352en_UK
dc.citation.volume8en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emaildylan.powell@stir.ac.uken_UK
dc.citation.date15/01/2025en_UK
dc.contributor.affiliationHarvard Medical Schoolen_UK
dc.contributor.affiliationHealth Sciences Stirlingen_UK
dc.identifier.isiWOS:001398041300003en_UK
dc.identifier.wtid2142853en_UK
dc.contributor.orcid0000-0003-1233-5468en_UK
dc.date.accepted2024-12-07en_UK
dcterms.dateAccepted2024-12-07en_UK
dc.date.filedepositdate2025-07-11en_UK
rioxxterms.apcpaiden_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMahajan, Arjun|en_UK
local.rioxx.authorPowell, Dylan|0000-0003-1233-5468en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2025-07-11en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2025-07-11|en_UK
local.rioxx.filenames41746-024-01374-4.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2398-6352en_UK
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