Merging Quantum Cloning and Blockchain Solutions for Health Informatics

Modern health informatics manage large volumes of sensitive data while maintaining accuracy, security, and trust. Emerging computational models and data architectures offer new ways to address these demands by improving how information is replicated, validated, and shared across systems. By combining advances in quantum cloning with blockchain solutions, healthcare data systems can move toward more resilient models of data integrity and controlled accessibility. Further exploration may reshape how medical information is secured and utilized for research, diagnostics, and patient-centered care. Merging Quantum Cloning and Blockchain Solutions for Health Informatics explores how quantum cloning techniques can be integrated with blockchain to enhance the security, transparency, and interoperability of healthcare systems. Covering both theory and practical applications, it offers a unique perspective at the intersection of quantum computing and healthcare informatics. This book covers topics such as data science, information security, and digital technology, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists.

Dac-Nhuong Le received the M.Sc. (2009) and Ph.D. (2015) degrees in Computer Science from Vietnam National University, Vietnam. He is currently an Associate Professor of Computer Science and Head of the Faculty of Information Technology at Haiphong University, Vietnam. With over 20 years of academic teaching and research experience, he has published extensively in reputable international journals and conferences and has contributed numerous book chapters. His publications are indexed in major scholarly databases, including SCI/SCIE/SSCI, Scopus, ACM, and DBLP. His research interests include soft computing, network communications, cybersecurity (security and vulnerability assessment), network performance analysis and simulation, cloud computing, the Internet of Things (IoT), and biomedical image processing, with a primary focus on network security, soft computing, IoT, and biomedical imaging. He has served on technical program committees, as a reviewer, and as a track chair for international conferences, including those published in the Springer ASI/IC and LNAI series. He also serves on the editorial boards of international journals and has authored and edited more than 30 computer science books with leading publishers such as Springer, Wiley, IGI Global, IET, De Gruyter, and CRC Press.

Dr. Abhishek Kumar is currently working as an Assistant director /Associate professor in the Computer science & Engineering Department in Chandigarh University, Punjab, India. He holds a Doctorate in computer science from University of Madras and is a Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla-La Mancha, Ciudad Real, and Ciudad Real Spain. He has done MTech in Computer Sci. & Engineering and B.Tech in I.T. from, Rajasthan Technical University, Kota India. He has total Academic teaching experience of more than 13 years along with 2 years teaching assistantship. He has more than 170 publications in reputed, peer reviewed National and International Journals, books & Conferences He has guided more than 30 MTech Projects at national and International level and 4 PhD Scholar Completed their Degree under his Guidance. His research area includes- Artificial intelligence, Renewable Energy Image processing, Computer Vision, Data Mining, Machine Learning. He has been Session chair and keynote Speaker of many International conferences, webinars in India and Abroad. He has been the reviewer for IEEE and Inderscience Journal. He has authored/Co-Authored 7 books published internationally and edited 51 books (Published & ongoing with IET, Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, De-Gruyter and CRC etc. He is serving as Series Editor for four books series, Quantum Computing with Degruyter Germany, Intelligent Energy System with Elsevier, & Mathematical Methods in the Digital Age with Degruyter Germany, AI for environment Sustainability with Degruyter Germany.

Pooja Dixit is currently working as a Assistant professor in Department of Computer Science in Ratan Lal Kanwar Lal Patni Girls College, KishanGarh, Rajasthan, India. She is Pursuing Doctorate in computer science from Manipal University Jaipur. She has done MCA and BCA from MDS University, Ajmer, India. She has total Academic teaching experience of more than 8 years. She is having more than 25 publications in reputed, peer reviewed National and International Journals, books & Conferences. Her research area includes- Artificial intelligence, Machine Learning, Data Mining. She has edited 1 book Published with Wiley. She has been member of various National and International professional societies in the field of engineering & research like Member of IAENG (International Association of Engineers), IRED (Institute of Research Engineers and Doctors), Associate Member of IAIP (International Association of Innovation Professionals), Life Member of ISRD (International Society for research & Development), Member of ISOC (Internet Society),Editorial Board member in IOSRD International Organization of Scientific Research and Development.

Pramod Singh Rathore is working in Department of Computer and Communication Engineering, Manipal University Jaipur, India. He has completed his Ph. D. in Computer Science & Engineering from the University of Engineering and Management, Jaipur (UEM) and done M. Tech in Computer Sci. & Engineering from the Government Engineering College Ajmer, Rajasthan Technical University, Kota, India. With over 15 years of academic teaching experience, he has published more than 115 papers in reputable, peer-reviewed national and international journals, books, and conferences, including Wiley, IGI GLOBAL, Taylor & Francis, Springer, Elsevier Science Direct, Annals of Computer Science, and IEEE. He has co-authored and edited numerous books with well-known publishers such as Wiley, CRC Press, and USA. His research interests include computer networks, data mining, and DBMS. He is a senior member of IEEE.