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Tailored Therapy Regimes Using Digital Twins
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Author(s): Aswathy Sathish (Kerala University of Health Sciences, India), Abhishek Ranjan (Botho University, Botswana)and Areena Mahek (DePaul University, USA)
Copyright: 2024
Pages: 22
Source title:
Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0
Source Author(s)/Editor(s): Archi Dubey (The ICFAI University, India), C. Kishor Kumar Reddy (Stanley College of Engineering and Technology for Women, India), Srinath Doss (Botho University, Botswana)and Marlia Mohd Hanafiah (Universiti Kebangsaan Malaysia, Malaysia)
DOI: 10.4018/979-8-3693-5893-1.ch006
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Abstract
A huge amount of data needs to be integrated and processed in the field of personalised medicine. In this case, the authors propose a solution that relies on the creation of digital twins. These are high resolution models of individual patients who have been computationally treated with thousands of drugs in order to find the drug that is most suitable for them. Digital twins could improve the proactiveness and individualization of healthcare services. It possesses the capability to identify irregularities and evaluate health risks prior to the onset or manifestation of a disease through the use of prediction algorithms and real-time data. Enormous databases of medical records biological and genomic data interconnected around the world by harnessing the power of super computers provides us the knowledge to create digital twins of yourself and using your data to improve the network for others after you who tend to have diseases that happen together based on similar gene expression or due to unprovoked side effects of simultaneous drug administration.
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