Improving authenticity and provenance in digital biomarkers: the case for digital watermarking
Enabled 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 ac...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-024-01374-4 |
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| _version_ | 1832594441071755264 |
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| author | Arjun Mahajan Dylan Powell |
| author_facet | Arjun Mahajan Dylan Powell |
| author_sort | Arjun Mahajan |
| collection | DOAJ |
| description | Enabled 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. |
| format | Article |
| id | doaj-art-cd85955a311d4d6ea8a41c12475e81c0 |
| institution | Kabale University |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-cd85955a311d4d6ea8a41c12475e81c02025-01-19T12:39:47ZengNature Portfolionpj Digital Medicine2398-63522025-01-01811310.1038/s41746-024-01374-4Improving authenticity and provenance in digital biomarkers: the case for digital watermarkingArjun Mahajan0Dylan Powell1Harvard Medical SchoolFaculty of Health Sciences & Sport, University of StirlingEnabled 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.https://doi.org/10.1038/s41746-024-01374-4 |
| spellingShingle | Arjun Mahajan Dylan Powell Improving authenticity and provenance in digital biomarkers: the case for digital watermarking npj Digital Medicine |
| title | Improving authenticity and provenance in digital biomarkers: the case for digital watermarking |
| title_full | Improving authenticity and provenance in digital biomarkers: the case for digital watermarking |
| title_fullStr | Improving authenticity and provenance in digital biomarkers: the case for digital watermarking |
| title_full_unstemmed | Improving authenticity and provenance in digital biomarkers: the case for digital watermarking |
| title_short | Improving authenticity and provenance in digital biomarkers: the case for digital watermarking |
| title_sort | improving authenticity and provenance in digital biomarkers the case for digital watermarking |
| url | https://doi.org/10.1038/s41746-024-01374-4 |
| work_keys_str_mv | AT arjunmahajan improvingauthenticityandprovenanceindigitalbiomarkersthecasefordigitalwatermarking AT dylanpowell improvingauthenticityandprovenanceindigitalbiomarkersthecasefordigitalwatermarking |