Digital Twins for Digital Transformation: Innovation in Industry

This book aims to present dominant applications and use cases of the fast-evolving Deep Learning (DT) and determine vital Industry 4.0 technologies for building DT that can provide solutions for fighting local and global medical emergencies during pandemics. Moreover, it discusses a new framework integrating DT and blockchain technology to provide a more efficient and effective preventive conservation in different applications.

Format: Hardback
Length: 200 pages
Publication date: 22 April 2022
Publisher: Springer Nature Switzerland AG

This book aims to present dominant applications and use cases of the fast-evolving Data Technology (DT) and determine vital Industry 4.0 technologies for building DT that can provide solutions for fighting local and global medical emergencies during pandemics. Moreover, it discusses a new framework integrating Data Technology (DT) and blockchain technology to provide a more efficient and effective preventive conservation in different applications.

Data Technology (DT) is a rapidly evolving field that has the potential to revolutionize various industries, including healthcare. In the context of pandemics, DT can play a crucial role in addressing medical emergencies and improving preventive conservation.

One of the dominant applications of DT in healthcare is the use of artificial intelligence (AI) and machine learning (ML) to analyze large amounts of medical data. This analysis can help healthcare professionals identify patterns, predict outcomes, and develop personalized treatment plans for patients. For example, AI algorithms can be used to analyze medical images, such as X-rays and CT scans, to detect early signs of disease and diagnose conditions such as cancer.

Another application of DT in healthcare is the use of wearable devices and remote monitoring technologies. These devices can collect patient data, such as heart rate, blood pressure, and body temperature, and transmit it to healthcare professionals in real-time. This allows for early detection of health issues and enables healthcare professionals to intervene promptly.

In addition to these applications, DT can also be used to improve preventive conservation in healthcare. For example, blockchain technology can be used to create secure and transparent databases for storing medical records. This can help prevent data breaches and ensure that medical information is accessible to authorized individuals only.

A new framework integrating DT and blockchain technology can provide a more efficient and effective preventive conservation in different applications. Blockchain technology is a secure and decentralized platform that can be used to create immutable records of transactions. This can be used to create secure and transparent databases for storing medical records, as well as to create secure and transparent supply chains for healthcare products.

In conclusion, Data Technology (DT) has the potential to revolutionize healthcare and improve preventive conservation. By leveraging AI and ML, wearable devices, and remote monitoring technologies, healthcare professionals can identify patterns, predict outcomes, and develop personalized treatment plans for patients. In addition, DT can be used to improve preventive conservation by creating secure and transparent databases for storing medical records and creating secure and transparent supply chains for healthcare products. A new framework integrating DT and blockchain technology can provide a more efficient and effective preventive conservation in different applications.

Weight: 483g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030968014
Edition number: 1st ed. 2022