Digital Twins of Biological Systems: A Narrative Review
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 modelin...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
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| Online Access: | https://ieeexplore.ieee.org/document/10596666/ |
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| author | Ghufran A. Alsalloum Nour M. Al Sawaftah Kelly M. Percival Ghaleb A. Husseini |
| author_facet | Ghufran A. Alsalloum Nour M. Al Sawaftah Kelly M. Percival Ghaleb A. Husseini |
| author_sort | Ghufran A. Alsalloum |
| collection | DOAJ |
| description | 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 |
| format | Article |
| id | doaj-art-0e83723595ff4a0bb600dfbb2d337299 |
| institution | Kabale University |
| issn | 2644-1276 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Engineering in Medicine and Biology |
| spelling | doaj-art-0e83723595ff4a0bb600dfbb2d3372992025-01-29T00:01:29ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762024-01-01567067710.1109/OJEMB.2024.342691610596666Digital Twins of Biological Systems: A Narrative ReviewGhufran A. Alsalloum0https://orcid.org/0000-0002-1610-9807Nour M. Al Sawaftah1Kelly M. Percival2Ghaleb A. Husseini3https://orcid.org/0000-0002-7244-3105Department of Biosciences and Bioengineering, College of Engineering, American University of Sharjah, Sharjah, UAEDepartment of Material Science and Engineering, College of Engineering, American University of Sharjah, Sharjah, UAEDepartment of Chemical and Biological Engineering, College of Engineering, American University of Sharjah, Sharjah, UAEDepartment of Chemical and Biological Engineering, College of Engineering, American University of Sharjah, Sharjah, UAEThe 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 fieldshttps://ieeexplore.ieee.org/document/10596666/Biological system modelingdigital twinmedical technology |
| spellingShingle | Ghufran A. Alsalloum Nour M. Al Sawaftah Kelly M. Percival Ghaleb A. Husseini Digital Twins of Biological Systems: A Narrative Review IEEE Open Journal of Engineering in Medicine and Biology Biological system modeling digital twin medical technology |
| title | Digital Twins of Biological Systems: A Narrative Review |
| title_full | Digital Twins of Biological Systems: A Narrative Review |
| title_fullStr | Digital Twins of Biological Systems: A Narrative Review |
| title_full_unstemmed | Digital Twins of Biological Systems: A Narrative Review |
| title_short | Digital Twins of Biological Systems: A Narrative Review |
| title_sort | digital twins of biological systems a narrative review |
| topic | Biological system modeling digital twin medical technology |
| url | https://ieeexplore.ieee.org/document/10596666/ |
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