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Elsevier

Quantum Computing for Healthcare Data

Revolutionizing the Future of Medicine

  • 1 Edición - 17 de enero de 2025
  • Última edición
  • Editores: Gayathri Nagasubramanian, S. Rakesh Kumar, Valentina Emilia Balas
  • Idioma: Inglés

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… Leer más

Descripción

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.

Puntos claves

  • 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

De interès para

Researchers, graduate students, and professionals working in the areas of quantum computing, blockchain, IoT, healthcare data management and analytics

Índice

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

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 22 de enero de 2025
  • Idioma: Inglés

Sobre los editores

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.
Afiliaciones y experiencia
Assistant Professor, Department of Computer Science and Engineering, GITAM University, Bengaluru, Karnataka, India

SK

S. Rakesh Kumar

S. Rakesh Kumar, PhD, is Assistant Professor in the Department of Artificial Intelligence and Data Science 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.

Afiliaciones y experiencia
Aurel Vlaicu University of Arad, Arad, Romania

VB

Valentina Emilia Balas

Valentina Emilia Balas is Full Professor in the Department of Automatics and Applied Software, Faculty of Engineering, at Aurel Vlaicu University of Arad, Romania. She holds a PhD in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Her research spans intelligent systems, computational intelligence, applied informatics, and engineering applications. Dr. Balas serves as Editor-in-Chief of International Journal of Advanced Intelligence Paradigms and International Journal of Computational Systems Engineering, and is a member of the editorial boards of several international journals. She is actively involved in the evaluation of national and international research projects and doctoral theses, and contributes to scholarly initiatives that support the advancement of intelligent and computational systems research.
Afiliaciones y experiencia
Department of Automatics and Applied Software, Faculty of Engineering, “Aurel Vlaicu” University of Arad, Arad, Romania Academy of Romanian Scientists, Romania

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