Quantum Computing for Healthcare Data
Revolutionizing the Future of Medicine
- 1st Edition - January 17, 2025
- Latest edition
- Editors: Gayathri Nagasubramanian, S. Rakesh Kumar, Valentina Emilia Balas
- Language: English
Quantum Computing for Healthcare Data: Revolutionizing the Future of Medicine presents an advanced overview of the fundamentals of quantum computing, from the transition of tradit… Read more
Description
Description
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.
Key features
Key features
- 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
Readership
Readership
Researchers, graduate students, and professionals working in the areas of quantum computing, blockchain, IoT, healthcare data management and analytics
Table of contents
Table of contents
1. Introduction to Quantum Computing
2. Transitioning from Traditional to Quantum Computing in Healthcare
3. Applications of Quantum Computing in Healthcare
4. The Impact of Quantum Computing on Healthcare
5. Challenges and Opportunities in Quantum Computing in Healthcare
6. Applications of Quantum AI in Healthcare
7. Integration of Quantum AI in Healthcare Systems
8. Quantum Machine Learning Models in Healthcare
9. Quantum Data Processing and Analysis
10. Real-World Examples of Quantum Computing in Healthcare
11. The Future of Quantum Computing in Healthcare
2. Transitioning from Traditional to Quantum Computing in Healthcare
3. Applications of Quantum Computing in Healthcare
4. The Impact of Quantum Computing on Healthcare
5. Challenges and Opportunities in Quantum Computing in Healthcare
6. Applications of Quantum AI in Healthcare
7. Integration of Quantum AI in Healthcare Systems
8. Quantum Machine Learning Models in Healthcare
9. Quantum Data Processing and Analysis
10. Real-World Examples of Quantum Computing in Healthcare
11. The Future of Quantum Computing in Healthcare
Product details
Product details
- Edition: 1
- Latest edition
- Published: January 22, 2025
- Language: English
About the editors
About the editors
GN
Gayathri Nagasubramanian
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.
Affiliations and expertise
GITAM University, Bengaluru, KarnatakaSK
S. Rakesh Kumar
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.
Affiliations and expertise
GITAM University, Bengaluru, IndiaVE
Valentina Emilia Balas
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.
Affiliations and expertise
Department of Automatics and Applied Software, Faculty of Engineering, “Aurel Vlaicu” University of Arad, Arad, Romania Academy of Romanian Scientists, RomaniaView book on ScienceDirect
View book on ScienceDirect
Read Quantum Computing for Healthcare Data on ScienceDirect