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Updated: Jul 8, 2025
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Published on: May 10, 2024
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Vision for the 12 LABOURS Digital Twin Platform
Summary
The 12 LABOURS Digital Twin Platform enables personalized computational physiology workflows for improved healthcare. This infrastructure supports efficient clinical trials and the development of individual digital twins for better health insights.
Area of Science:
- Biomedical Engineering
- Computational Physiology
- Digital Health
Background:
- Personalized computational physiology workflows and digital twins offer revolutionary healthcare potential.
- Lack of common infrastructure hinders the development and clinical translation of these technologies.
Purpose of the Study:
- To develop a Digital Twin Platform (12 LABOURS project) for creating personalized computational physiology models.
- To enable efficient clinical trials for personalized workflows and facilitate data reuse.
- To demonstrate the platform's capability in data discovery, workflow execution, and results presentation.
Main Methods:
- Development of a Digital Twin Platform by the Auckland Bioengineering Institute.
- Demonstration using publicly available data and an existing breast cancer diagnostic workflow.
- Web portal integration for data exploration and clinical report generation.
Main Results:
- Successful demonstration of the Digital Twin Platform's capabilities.
- Facilitation of data discovery, workflow execution, and results presentation.
- Potential for efficient clinical trials and personalized digital twin generation.
Conclusions:
- The 12 LABOURS Digital Twin Platform addresses infrastructure challenges in personalized computational physiology.
- The platform supports clinical translation, data reuse, and the creation of individual digital twins.
- Future integration with health systems and remote monitoring will enhance home-based healthcare.
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