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, GITAM University, Bengaluru. She has published 45+ published journal articles (SCI journals& Scopus indexed), presented papers in national/ international conferences, published book chapters, and edited books published with Wiley and CRC Press. Dr. Gayathri has 7 Indian patents, 1 Australian Patent, and she is a guest editor for Recent Patents on Computer Science. Her research interests include Big data Analytics, IoT and networks. She is an active reviewer for Bentham Science Journal, Mobile Networks and Applications, Expert Systems with Applications, Sustainable Computing: Informatics and Systems, IEEE Internet of Things, Expert Systems.

S. Rakesh Kumar, PhD is an Assistant Professor in the Department of Computer Science and Engineering, at GITAM University, Bengaluru. He has published reputed 40+ journal articles (SCI journals & Scopus indexed), presented papers in national/ international conferences, published book chapters in CRC Press, IGI global, Springer, Elsevier, and has edited books with Wiley and CRC Press. Dr. Kumar has six Indian patents and his research interests include Big data Analytics, IoT and networks, and cloud computing. He is an active reviewer in Bentham Science Journal, Mobile Networks and Applications, Expert systems with applications, Sustainable Computing: Informatics and Systems, IEEE Internet of Things, Expert systems.

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