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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Dec 14, 2021
Date Accepted: Jun 9, 2022

The final, peer-reviewed published version of this preprint can be found here:

Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course

Mulder ST, Omidvari AH, Rueten-Budde A, Huang PH, Kim KH, Bais B, Rousian M, Hai R, Akgun C, van Lennep JR, Willemsen S, Rijnbeek PR, Tax DM, Reinders M, Boersma E, Rizopoulos D, Visch V, Steegers-Theunissen R

Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course

J Med Internet Res 2022;24(9):e35675

DOI: 10.2196/35675

PMID: 36103220

PMCID: 9520391

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

The Dynamic Digital Twin: diagnosis, treatment, prediction and prevention of disease during the life course

  • Skander Tahar Mulder; 
  • Amir-Houshang Omidvari; 
  • Anja,J. Rueten-Budde; 
  • Pei-Hua Huang; 
  • Ki-Hun Kim; 
  • Babette Bais; 
  • Melek Rousian; 
  • Rihan Hai; 
  • Can Akgun; 
  • Jeanine Roeters van Lennep; 
  • Sten Willemsen; 
  • Peter R Rijnbeek; 
  • David M.J. Tax; 
  • Marcel Reinders; 
  • Erik Boersma; 
  • Dimitris Rizopoulos; 
  • Valentijn Visch; 
  • RĂ©gine Steegers-Theunissen

ABSTRACT

A Digital Twin (DT), which is defined originally as a virtual representation of a physical asset, system or process, is a new concept in healthcare. DT in healthcare cannot be a single technology, but a domain adapted multi-modal modelling approach, which incorporates the acquisition, management, analysis, prediction, and interpretation of the data, aiming to improve medical decision making. However, there are many challenges and barriers that has to be overcome before a DT can be used in healthcare. In this viewpoint paper, we address these challenges, and envision a dynamic DT in healthcare for optimizing individual patient health care journeys. We describe how we can commit multiple domains to developing this DT. With our cross-domain definition of the DT, we aim to define future goals, trade-offs, and methods, which guide the development of the dynamic DT and the implementation strategies in healthcare.


 Citation

Please cite as:

Mulder ST, Omidvari AH, Rueten-Budde A, Huang PH, Kim KH, Bais B, Rousian M, Hai R, Akgun C, van Lennep JR, Willemsen S, Rijnbeek PR, Tax DM, Reinders M, Boersma E, Rizopoulos D, Visch V, Steegers-Theunissen R

Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course

J Med Internet Res 2022;24(9):e35675

DOI: 10.2196/35675

PMID: 36103220

PMCID: 9520391

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