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Ai-Enabled Sustainable Healthcare: Demystifying Secure Quantum Blockchain

Ai-Enabled Sustainable Healthcare: Demystifying Secure Quantum Blockchain - Paperback

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Availability:In StockContributor:M. Nivaashini, S. Sountharrajan, E. SuganyaPublish date:5/29/2026Pages:296
Languages:EnglishPublisher:Academic PressISBN-13:9780443337000ISBN-10:0443337004UPC:9780443337000Book Category:ScienceBook Subcategory:Life SciencesBook Topic:BiologySize:10.91 x 8.51 x 0.71 inchesWeight:0.772Product ID:SC0DSETX9D
AI-Enabled Sustainable Healthcare: Demystifying Secure Quantum Blockchain explores the convergence of quantum computing, blockchain technology, and artificial intelligence in the context of healthcare. In today's rapidly evolving technological landscape, traditional healthcare systems face challenges related to data security, interoperability, and the efficient utilization of patient information. The emergence of quantum computing, blockchain, and AI presents unprecedented opportunities to overcome these challenges and revolutionize healthcare delivery. This book provides a clear and accessible overview of these complex technologies and their potential applications in healthcare. By demystifying these concepts and illustrating their real-world implications, the book equips readers with the knowledge and insights needed to navigate the intersection of technology and healthcare effectively. Furthermore, as the demand for secure, transparent, and sustainable healthcare solutions continues to grow, there is an urgent need for informed discussions and innovative approaches in this field.
Languages:EnglishPublisher:Academic PressISBN-13:9780443337000ISBN-10:0443337004UPC:9780443337000Book Category:ScienceBook Subcategory:Life SciencesBook Topic:BiologySize:10.91 x 8.51 x 0.71 inchesWeight:0.772Product ID:SC0DSETX9D
Balusamy, Balamurugan: -

Dr. Balamurugan Balusamy is currently working as an Associate Dean Student in Shiv Nadar Institution of Eminence, Delhi-NCR. He is part of the Top 2% Scientists Worldwide 2023 by Stanford University in the area of Data Science/AI/ML. He is also an Adjunct Professor in the Department of Computer Science and Information Engineering, Taylor University, Malaysia. His contributions focus on engineering education, blockchain, and data sciences

Bashir, Ali Kashif: - Ali Kashif Bashir is an Associate Professor at the School of Computing and Mathematics of Manchester Metropolitan University, United Kingdom, an Adjunct Professor at the School of Electrical Engineering and Computer Science at the National University of Science and Technology, Islamabad (NUST), Pakistan, an Honorary Professor at the School of Information and Communication Engineering of the University of Electronics Science and Technology of China (UESTC), and a Chief Advisor at the Visual Intelligence Research Center, UESTC, China. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), United States and a distinguished speaker of the Association for Computing Machinery (ACM), United States.Nivaashini, M.: - "

Dr. M. Nivaashini is an Assistant Professor in the department of Artificial Intelligence & Data Science at Sri Eshwar College of Engineering, Coimbatore. She received her Ph.D. degree in Information and Communication Engineering from Anna University, Chennai. Her research interests are in Artificial Intelligence, Internet of Things, Big Data Analytics and Cyber Security. She has 28 Publications with 3 Book Chapters, 16 International Journal Publications including Scopus / SCI/ WoS indexed high impact factor Journals with reputed publishers: Springer, Wiley, Inderscience, Taylor & Francis, etc., 6 International Conference Publications with reputed publishers: Springer, IEEE, etc., and 3 National Conference Publications. She has received a fund of Rs. 18,00,000 (Eighteen Lakhs) from AICTE for conducting FDPs and Guest Lectures in the year 2018 - 2021. She has attended many Faculty Development Programmes / Conferences / Workshops / Guest Lectures across India in reputed institutes.

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Publisher: Academic Press

Contributor(s)

M. Nivaashini, S. Sountharrajan, E. Suganya

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