Digital Twins for Healthcare: Design, Challenges and Solutions establishes the state-of-art in the specification, design, creation, deployment and exploitation of digital twins' technologies for healthcare and wellbeing. A digital twin is a digital replication of a living or non-living physical entity. When data is transmitted seamlessly, it bridges the physical and virtual worlds, thus allowing the virtual entity to exist simultaneously with the physical entity. A digital twin facilitates the means to understand, monitor, and optimize the functions of the physical entity and provide continuous feedback. It can be used to improve citizens' quality of life and wellbeing in smart cities and the virtualization of industrial processes. - Presents the fundamentals of digital twin technology in healthcare - Facilitates new approaches for healthcare industry - Explores different use cases of digital twins in healthcare
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Digital Twin for Healthcare: Design, Challenges, and Solutions
Digital Twins for Healthcare: Design, Challenges and Solutions establishes the state-of-art in the specification, design, creation, deployment and exploitation of digital twins' technologies for healthcare and wellbeing. A digital twin is a digital replication of a living or non-living physical entity. When data is transmitted seamlessly, it bridges the physical and virtual worlds, thus allowing the virtual entity to exist simultaneously with the physical entity. A digital twin facilitates the means to understand, monitor, and optimize the functions of the physical entity and provide continuous feedback. It can be used to improve citizens' quality of life and wellbeing in smart cities and the virtualization of industrial processes. - Presents the fundamentals of digital twin technology in healthcare - Facilitates new approaches for healthcare industry - Explores different use cases of digital twins in healthcare
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Digital Twin for Healthcare: Design, Challenges, and Solutions
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Digital Twin for Healthcare: Design, Challenges, and Solutions
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Product Details
ISBN-13: | 9780323950954 |
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Publisher: | Elsevier Science & Technology Books |
Publication date: | 11/21/2022 |
Sold by: | Barnes & Noble |
Format: | eBook |
Pages: | 378 |
File size: | 21 MB |
Note: | This product may take a few minutes to download. |
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