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Personalized Diabetes Management with Digital Twins: A Patient-Centric Knowledge Graph Approach

A study proposing a patient-centric digital twin framework for diabetes care using personal health knowledge graphs.

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Personalized Diabetes Management with Digital Twins: A Patient-Centric Knowledge Graph Approach

By Fatemeh Sarani Rad, Rasha Hendawi, Xinyi Yang, Juan LiJournal of Personalized Medicine
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The authors develop a real-time, patient-centric digital twin framework built on personal health knowledge graphs (PHKGs) to revolutionize diabetes management.

This framework integrates data from diverse sources and enables seamless information access while ensuring high accuracy in data representation and health insights. The study demonstrates the versatility of their approach by applying it to different use cases in diabetes management.

Abstract

The authors develop a real-time, patient-centric digital twin framework built on personal health knowledge graphs (PHKGs) to revolutionize diabetes management. This framework integrates data from diverse sources and enables seamless information access while ensuring high accuracy in data representation and health insights. The study demonstrates the versatility of their approach by applying it to different use cases in diabetes management.

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digital-twinspersonalized-diabetes-managementhealth-knowledge-graphspatient-centric-carediabetes-managementKnowledge GraphsStructured ContentContent EngineeringAI Agents
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