Digital Twin in Preventive Health: Communicating Health Risk to Individuals

Digital Twin technology has been considered as an effective technology for improving efficiency, real-time monitoring, making predictions and simulations in industry.

While, in the healthcare field, it is mostly researched to be used in the clinical applications for patient monitoring or disease prediction.

My research extends the possible applications into the context of preventive health outside the clinic.

My project focuses on the interaction design between individuals and Digital Twin to communicate health risks, leveraging the capabilities of Digital Twin technology to produce predictive health risk information, and considering the possible relationship human and Digital Twin may foster together in the long term.





Yinchu Li

Research Host

Eindhoven University of Technology (Tu/e)

PhD awarding institution/s

Eindhoven University of Technology (Tu/e) & RMIT University


Eindhoven (Netherlands)


RMIT and many of the REDI partners are HSR4R certified

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034328.

Results reflect the author’s view only. The European Commission is not responsible for any use that may be made of the information it contains

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