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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, 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.

Afiliaciones y experiencia
GITAM University, Bengaluru, Karnataka

SK

S. Rakesh Kumar

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.

Afiliaciones y experiencia
GITAM University, Bengaluru, India

VE

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.
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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