IEEE Open Journal of Engineering in Medicine and Biology (Jan 2024)

Digital Twins of Biological Systems: A Narrative Review

  • Ghufran A. Alsalloum,
  • Nour M. Al Sawaftah,
  • Kelly M. Percival,
  • Ghaleb A. Husseini

DOI
https://doi.org/10.1109/OJEMB.2024.3426916
Journal volume & issue
Vol. 5
pp. 670 – 677

Abstract

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The concept of Digital Twins (DTs), software models that mimic the behavior and interactions of physical or conceptual objects within their environments, has gained traction in recent years, particularly in medicine and healthcare research. DTs technology emerges as a pivotal tool in disease modeling, integrating diverse data sources to computationally model dynamic biological systems. This narrative review explores potential DT applications in medicine, from defining DTs and their history to constructing DTs, modeling biologically relevant systems, as well as discussing the benefits, risks, and challenges in their application. The influence of DTs extends beyond healthcare and can revolutionize healthcare management, drug development, clinical trials, and various biomedical research fields

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