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The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

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Trust By Design: Enabling Responsible Precision Health Through Blockchain-Powered Digital Twins And Trusted AI.

Ingrid Vasiliu-Feltes^1,2,3, Christina Yan Zhang⁴, Stephen Dennis²

¹Institute SEI, USA.

Blockchain in Healthcare Today

|February 2, 2026

Summary

Blockchain and trusted artificial intelligence (AI) can power precision health digital twins, enhancing personalized medicine. Key considerations include governance, interoperability, and cybersecurity for resilient healthcare infrastructures.

Keywords:

AI blockchain digital twins interoperability personalized medicine precision health privacy standards trusted cybersecurity

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Area of Science:

Health Informatics
Biotechnology
Computer Science

Background:

Precision health aims to tailor medical treatment to individual characteristics.
Digital twins offer a virtual replica of a patient for personalized care.
Integrating advanced technologies presents opportunities and challenges in healthcare.

Purpose of the Study:

To explore the convergence of blockchain, AI, and other technologies for precision health digital twins.
To discuss governance, interoperability, and cybersecurity in this context.
To examine the impact on precision healthcare and personalized medicine.

Main Methods:

An executive session dialogue.
Exploration of use cases in genomics, radiology, theranostics, and end-of-life care.
Discussion of opportunities and barriers.

Main Results:

The convergence of blockchain, AI, genomics, and 6G enables precision health digital twins.
Governance, interoperability, and cybersecurity are critical for implementation.
Use cases highlight both potential benefits and existing challenges.

Conclusions:

Trust, patient sovereignty, and resilient infrastructures are paramount for next-generation healthcare.
Blockchain and trusted AI are key enablers for responsible precision health.
Further development is needed to overcome identified barriers.