ArticleThe American journal of bioethics : AJOB2025
Enabling Demonstrated Consent for Biobanking with Blockchain and Generative AI.
Article in The American journal of bioethics : AJOB, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Blockchain-Based Dynamic and Revocable Consent for Secondary Health Data Use: Systematic Review.JMIR medical informatics · 2026Pooled it
- Digital bioethics: exploring an emerging field.Medicine, health care, and philosophy · 2026Article
- Ethics and Regulation of Human Brain Organoid Research: Recommendations from the Asia Pacific Neuroethics Working Group.Asian bioethics review · 2026Article
- Medical artificial intelligence and the right to health.BMC medical ethics · 2026Article
- AI-assisted consent in paediatric medicine: ethical implications of using large language models to support decision-making.Journal of medical ethics · 2026Article
- IsAI & society · 2026Article
- Large language models for surgical informed consent: an ethical perspective on simulated empathy.Journal of medical ethics · 2026Article
- Genomic testing in gamete donors: clinicians' perspectives on recontact and pre-donation genetic counseling.Journal of assisted reproduction and genetics · 2026Article
- Current situation and future prospect of biobank.CytoJournal · 2026Review
- Augmenting research consent: should large language models (LLMs) be used for informed consent to clinical research?Research ethics · 2025Article
- Enabling secure and self determined health data sharing and consent management.NPJ digital medicine · 2025Review
- Blockchain Applications in Core Healthcare Services: Patient Data, Research, and Institutional Processes.Blockchain in healthcare today · 2025Article
- AI-Induced Cybersecurity Risks in Healthcare: A Narrative Review of Blockchain-Based Solutions Within a Clinical Risk Management Framework.Risk management and healthcare policy · 2025Review
- Blockchain Technology in Digital Health and Medical Technologies.Blockchain in healthcare today · 2025Article
- Ethical, Legal, and Social Issues in Metaverse-Enabled Healthcare.Blockchain in healthcare today · 2025Review
- Unlocking Potential: A Comprehensive Overview of Cell Culture Banks and Their Impact on Biomedical Research.Cells · 2024Review
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Authors and funding
7 authors.
Funding
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.