Enabling Demonstrated Consent for Biobanking with Blockchain and Generative AI

Participation in research is supposed to be voluntary and informed. Yet it is difficult to ensure people are adequately informed about the potential uses of their biological materials when they donate samples for future research. We propose a novel consent framework which we call "demonstrated consent" that leverages blockchain technology and generative AI to address this problem. In a demonstrated consent model, each donated sample is associated with a unique non-fungible token (NFT) on a blockchain, which records in its metadata information about the planned and past uses of the sample in research, and is updated with each use of the sample. This information is accessible to a large language model (LLM) customized to present this information in an understandable and interactive manner. Thus, our model uses blockchain and generative AI technologies to track, make available, and explain information regarding planned and past uses of donated samples.

Authors

Institutions

Publication Details

Journal
The American Journal of Bioethics
Published
2024-11-05
DOI
https://doi.org/10.1080/15265161.2024.2416117
Citations
25
Primary Topic
Ethics in Clinical Research
Type
article
Field-Weighted Citation Impact
13.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enabling Demonstrated Consent for Biobanking with Blockchain and Generative AI

Jemima Winifred Allen, Carl Edward Barnes, Julian Savulescu, Timo Minssen et al.
25 citations
The American Journal of Bioethics
Ethics in Clinical Research
13.57
article

Enabling Demonstrated Consent for Biobanking with Blockchain and Generative AI

Jemima Winifred Allen, Carl Edward Barnes, Julian Savulescu, Timo Minssen, Brian David Earp, Sebastian Porsdam Mann, Mateo Aboy
article en
25 citations

Abstract

Participation in research is supposed to be voluntary and informed. Yet it is difficult to ensure people are adequately informed about the potential uses of their biological materials when they donate samples for future research. We propose a novel consent framework which we call "demonstrated consent" that leverages blockchain technology and generative AI to address this problem. In a demonstrated consent model, each donated sample is associated with a unique non-fungible token (NFT) on a blockchain, which records in its metadata information about the planned and past uses of the sample in research, and is updated with each use of the sample. This information is accessible to a large language model (LLM) customized to present this information in an understandable and interactive manner. Thus, our model uses blockchain and generative AI technologies to track, make available, and explain information regarding planned and past uses of donated samples.

The American Journal of BioethicsVol. 25(4)
University of Copenhagen (DK), Harvard University (US), National University of Singapore (SG), University of Cambridge (GB), Australian Regenerative Medicine Institute (AU), University of Oxford (GB), Monash University (AU), Stanford University (US)
Wellcome Trust, National Research Foundation, National Research Foundation Singapore
Openalex Percentile: Top 1%
Ethics in Clinical Research
13.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Enabling Demonstrated Consent for Biobanking with Blockchain and Generative AI — Jemima Winifred Allen, Carl Edward Barnes, et al. · The American Journal of Bioethics (2024) | TGRS Research Map | TGRS