EDITORIAL article
Front. Digit. Health
Sec. Health Technology Implementation
This article is part of the Research TopicImplementing Digital Twins in Healthcare: Pathways to Person-Centric SolutionsView all 9 articles
Editorial: Implementing Digital Twins in Healthcare: Pathways to Person-Centric Solutions
Provisionally accepted
- 1Department of Computer Science and Engineering, University of Bologna, Bologna, Italy
- 2Department of Computer Science, University of Bari, Bari, Italy
- 3Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi”, University of Bologna, Bologna, Italy
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Digital Twins (DTs) are redefining the boundaries of healthcare innovation, offering dynamic, datadriven models that mirror patients, organs, or entire health systems. Originating from industrial engineering, DTs are now being reimagined as intelligent infrastructures capable of real-time simulation, prediction, and personalization. In healthcare, their implementation promises to enable predictive, preventive, personalized, and participatory (4P) medicine. However, translating these promises into practice entails complex sociotechnical challenges, spanning data governance, interoperability, ethical alignment, and user trust.
Keywords: Digital Twin, personalized medicine, 4P medicine, patient-centric care, Artificial intelligence in medicine
Received: 07 Nov 2025; Accepted: 19 Nov 2025.
Copyright: © 2025 Carbonaro, Marfoglia, Quaranta, Mellone and Lanubile. 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:
Antonella Carbonaro, antonella.carbonaro@unibo.it
Alberto Marfoglia, alberto.marfoglia2@unibo.it
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