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REVIEW article

Front. Digit. Health

Sec. Ethical Digital Health

Volume 7 - 2025 | doi: 10.3389/fdgth.2025.1626833

This article is part of the Research TopicEthical Considerations of Large Language Models: Challenges and Best PracticesView all articles

How the World of Biobanking Changes with Artificial Intelligence

Provisionally accepted
  • Medical University of Innsbruck, Innsbruck, Austria

The final, formatted version of the article will be published soon.

Artificial Intelligence is increasingly shaping the practice of biobanking by influencing how biobanks evolve and operate, especially when it concerns their relationship to data. By assessing four key parameters—size, site, speed, and access—this paper analyzes the impact of AI technologies on biobanks, presenting them as dynamic boundary objects that produce biovalue by transforming biological material and data into intangible assets of the data-driven bioeconomy. Historically rooted at the intersection of health research and healthcare, biobanking is continually reshaped by emerging technologies, policies, and societal expectations. While biobanks were originally defined as collections of samples and associated data, they have recently evolved into complex infrastructures for both data and samples.

Keywords: Biobank, artificial intelligence, datafication, health economy, access, speed, Size

Received: 11 May 2025; Accepted: 01 Aug 2025.

Copyright: © 2025 Mayrhofer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Michaela Th. Mayrhofer, Medical University of Innsbruck, Innsbruck, Austria

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