Quantum Computing for Healthcare Data: Revolutionizing the Future of Medicine (Advances in Biomedical Informatics) - Softcover

Softcover

ISBN 10: 0443292973 ISBN 13: 9780443292972

Publisher: Academic Press, 2025

Synopsis

Quantum Computing for Healthcare Data: Revolutionizing the Future of Medicine presents an advanced overview of the fundamentals of quantum computing, from the transition of traditional to quantum computing, to the challenges and opportunities encountered as various industries enter into the paradigm shift. The book investigates how quantum AI, quantum data processing, and quantum data analysis can best be integrated into healthcare data systems. The book also introduces a range of case studies which feature applications of quantum computing in connected medical devices, medical simulations, robotics, medical diagnosis, and drug discovery. The book will be a valuable resource for researchers, graduate students, and professional programmers and computer engineers working in the areas of healthcare data management and analytics, blockchain, IoT, and big data analytics.

• Explores the challenges and opportunities presented by quantum computing technology within healthcare data and applications
• Compares quantum machine learning models and analyzes which offer the most promise for healthcare data analytics
• Presents a range of case studies where quantum computing is starting to be applied, including connected medical devices, medical simulations, robotics, medical diagnosis, and drug discovery

About this title

About the Authors

N. Gayathri, PhD is an Assistant Professor in the Department of Computer Science and Engineering at GITAM University, Bengaluru. Her research focuses on big data analytics, the Internet of Things (IoT), and computer networks. Dr. Gayathri holds multiple patents, including granted patents in India and Australia, and serves as a Guest Editor for Recent Patents on Computer Science. She has contributed to the scholarly literature through journal articles, conference papers, book chapters, and edited volumes. In addition, she is an active peer reviewer for several international journals, including Mobile Networks and Applications, Expert Systems with Applications, Sustainable Computing: Informatics and Systems, and the IEEE Internet of Things Journal. Her work spans data-driven technologies and their applications in intelligent and connected systems.

S. Rakesh Kumar, PhD, is Assistant Professor in the Department of Computer Science and Engineering at GITAM University, Bengaluru. His research focuses on big data analytics, Internet of Things (IoT), computer networks, and cloud computing. He is the holder of multiple Indian patents and has contributed to scholarly literature through journal articles, conference papers, book chapters, and edited volumes in areas related to data-driven computing and emerging digital technologies. Dr. Kumar also serves as a reviewer for several international journals covering topics such as intelligent systems, sustainable computing, mobile networks, and IoT applications. His work spans research, innovation, and academic engagement in computing technologies and their real-world applications.

Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a PhD cum Laude in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering', an editorial board member for several other national and international publications, and an expert evaluator for national and international projects and PhD theses.

From the Back Cover

Quantum Computing for Healthcare Data presents an advanced overview of the fundamentals of quantum computing, from the transition of traditional to quantum computing, to the challenges and opportunities encountered as various industries enter into the paradigm shift. The book investigates how quantum AI, quantum data processing, and quantum data analysis can best be integrated into healthcare data systems. The book also introduces a range of case studies which feature applications of quantum computing in connected medical devices, medical simulations, robotics, medical diagnosis, and drug discovery. The book will be a valuable resource for researchers, graduate students, and professional programmers and computer engineers working in the areas of healthcare data management and analytics, blockchain, IoT, and big data analytics.

Edition details

• Publisher: Academic Press
• Publication date: 2025
• Language: English
• ISBN 10: 0443292973
• ISBN 13: 9780443292972
• Binding: Paperback
• Edition number: 1
• Number of pages: 282
• Editor: Gayathri