The Dematerialisation of Metabolism: Endocrine Digital Twins between Clinical Validation, AI-Spoofing and Healthcare Data Sovereignty

June 27, 2026Open Access

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Key Points

This work aims to explore the clinical and methodological maturity of endocrine digital twins and their implications for healthcare.
Conducted a structured narrative review on endocrine digital twins from multiple perspectives.
Examined the clinical validation, cybersecurity threats, regulatory frameworks, and data governance.
Identified six critical gaps in existing literature and proposed a research agenda and operational governance checklist.
Outlined significant vulnerabilities in the integrity of data affecting patient safety, particularly in closed-loop insulin delivery systems.
Addressed the complexities of AI-spoofing and its impact on data reliability and patient outcomes.
Provided recommendations for responsible clinical adoption of endocrine digital twins amidst evolving regulatory landscapes.

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Narrative review highlights critical gaps in endocrine digital twins and data governance for patient care.

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Messina et al. (2026) studied this question.

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