Electronics and Communications Technology

Quantum Healthcare
Exploring Innovations and Applications

Editors: Rajesh Prasad, PhD
Jagannath Nalavade, PhD
Beauty Pandey, PhD
Youakim Badr, PhD

Quantum Healthcare

In Production
Pub Date: Forthcoming February 2027
Hardback Price: $190 USD | £150 UK
Hard ISBN: 9781779646835
E-Book ISBN: 978-1-77964-684-2
Pages: Est. 355 pp w index
Binding Type: Hardback / ebook
Notes: 15 color and 42 b/w illustrations


Reviews
“A visionary blueprint for the future of medicine. . . .This book ventures into uncharted territory, exploring quantum’s role in predictive modeling, personalized treatment plans, and secure healthcare communication. . . . This book serves as a cornerstone for those seeking to harness quantum’s disruptive potential in healthcare, guiding scholars, professionals, and innovators toward a future where medical science is not just improved, but revolutionized.”
—From the Foreword by Dr. Raul V. Rodriguez, Vice President and Steven Pinker Professor of Cognitive Psychology, Woxsen University, India

The swift advancement of quantum computing has opened unprecedented avenues in computational capabilities, providing solutions to some of humanitys most intricate challenges. At the forefront of this transformation is the healthcare sector, which grapples with extensive data-related issues. The integration of quantum technologies into medical research, diagnostics, and treatment strategies holds the promise of revolutionizing patient care, expediting drug development, and bolstering medical security.

This new book, Quantum Healthcare: Exploring Innovations and Applications, examines how quantum technologies—such as quantum computing, sensing, and communication—can address the constraints of traditional methods in heathcare. The chapters cover a broad spectrum of subjects, including drug discovery and development, precision medicine, predictive modeling and patient-specific treatment plans, genomics, quantum-enhanced machine learning, secure quantum communication for telehealth, quantum approaches to image processing in healthcare, and more.

By bridging theoretical foundations with practical applications, this volume offers valuable insights for researchers, academics, and healthcare professionals regarding the emerging trends and prospects of quantum healthcare.

CONTENTS:
Preface

1. Quantum Technologies in Healthcare: A Review
Jagannath Nalavade, Mansi Subhedar, Rajesh Prasad, Dattatray Kale, and Youakim Badr

2. Quantum Healthcare: A Multidisciplinary Approach to Ethics, Technology, and Practice
Shradha Chavan, Preeti Mulay, and Archana Chaudhari

3. Revolutionizing Healthcare: Quantum Computing for Personalized Treatment Strategies Through Predictive Modeling
Jyoti Dinkar Bhosale, Priti V. Pancholi, Swati Suresh Fere, and Sanket Gunderao Torambekar

4. Review of Tools, Technologies, and Implementation of Predictive Model for Customized Treatment Plans in Healthcare: Enhancing Patient Outcomes
Rupali Pawar, Sheetal Waghchaware, Rajesh Barapte, and Shriya Pawar

5. Predictive Modeling and Patient-Specific Treatment Plans in Quantum Computing
Pratibha V. Jadhav, Aman Nalband , Mahesh Shankrao Patil, and Priyanka P. Shinde

6. Quantum Computing in Drug Discovery
Amol Bhosle, Kanchan V. Wankhade, Komal Munde, Sneha Singha, and Rinku Badgujar

7. Novel Developments in Quantum Computing for Drug Development and Discovery
Vijaya S. Patil, Mayuresh Gulame, Priya Khune, Aarti P. Pimpalkar, and Ruchita Sharma

8. Quantum’s Bio Frontiers: A Biological Perspective on Protein Folding, Drug Discovery, and Shifting Paradigms
Akshay Uttarkar, Yeshaswini Radhakrishnan, Vidya Niranjan, Jagannath Nalavade, and Rajani Sajjan

9. From Qubits to Pixels: Quantum Approaches to Image Processing
Rashmi S. Nair and Rohit Agrawal

10. Quantum Computing and Quantum Rough Fuzzy-Based Machine Learning
Ayesha Butalia, Rajeev Kumar, Jagannath E. Nalavade, and Pushkar Kumar

11. Quantum Computing for Quantum Chemistry: Transforming Drug Discovery and Pharmaceutical Research
Dattatray Raghunath Kale, Jagannath Nalwade, Juber Mohamad Shaphi Mulla, Tusharkumar Rajaram Sathe, Apurva Ajay Mohite, and Rajendra G. Pawar

12. Quantum Chemistry Simulations for Pharmaceutical Research
Dipak Kumar Sahoo and Beauty Pandey

13. Molecular Insights: Quantum Chemistry for Pharmaceutical Research
Rahul Kadu, Khushbu Patil, Shruti Vishwakarma, and Dnyaneshwar Ghodechor

14. Quantum Key Distribution: Advancing Secure Communication through Quantum Cryptography
Pankaj Chandre, Rajneeshkaur Sachdeo, Rekha Sugandhi, Bhagyashree Shendkar, Jagannath Nalavade, and Sachin Jagadale

Index


About the Authors / Editors:
Editors: Rajesh Prasad, PhD
Principal, Bharati Vidyapeeth Deemed University College of Engineering, Pune, India

Rajesh Prasad, PhD, is working as a Principal at the College of Engineering at Bharati Vidyapeeth (deemed-to-be university), Katraj, Pune, India, where he is instrumental in developing the curriculum and content. He has more than 28 years of academic and research experience. He is an active senior member of IEEE and a chartered engineer of IE. He is associated with several universities in different roles. research scholars have been awarded PhD degrees under his guidance, and he has reviewed and examined many PhD and MTech theses. He has published more than 90 papers in international and national journals and has one international patent (granted), four patents (published), and 11 copyrights to his credit. His area of interest is in text and data analysis, speech processing, etc. He has authored over 10 books and several book chapters. He has been associated with industries for research collaboration. He is an active member of various professional societies (ISTE, IEEE, CSI, etc.). He is serves as research review committee member at renowned universities, including Symbiosis International University, Savitribai Phule Pune University, Bharath University, India, etc. He is also a reviewer and technical committee member for various journals and conferences. He holds a PhD in Computer Engineering. Seven

Jagannath Nalavade, PhD
Professor and Program Head, Department of Computer Science Engineering (CSE-Core), MITADT School of Computing, Pune, India

Jagannath Eaknath Nalavade, PhD, is a Professor and Program Head in the Department of Computer Science Engineering (CSE- Core), MITADT School of Computing, Pune, India. He is a senior member of IEEE and a lifetime member of the Computer Society of India (CSI), Indian Society for Technical Education (ISTE), and International Association of Engineers (IAENG) professional bodies. With 19 years of teaching experience, he teaches in the area of artificial intelligence, database management systems, data mining, and big data analytics. He has attended various training workshops and has acquired technical skills related to areas of specialization and serves as a reviewer for several journals and international conferences. He has published one book, Machine Learning Approaches in Cyber Security, to date as well as over 44 journal papers. He is also on the organizing and technical committees for many international conferences. He has a PhD in Computer Engineering from Vel Tech Rangrajan Dr. SR R&D Institute of Science and Technology, Chennai, India.

Beauty Pandey, PhD
Assistant Professor, School of Technology, WOXSEN University, Hyderabad, Telangana, India

Beauty Pandey, PhD, is an Assistant Professor at the School of Technology at WOXSEN University, Hyderabad, Telangana, India. Prior to this, Dr. Pandey worked in the Department of Physics, Faculty of Science & Technology at ICFAI University, Tripura, Agartala, India. She has been involved in teaching theory and lab courses in postgraduate and undergraduate classes. She was recently awarded a funded project on a solar power-enabled low-cost wheelchair by the International Solar Innovation Council (InSIC), Finland. To date, she has published research articles and has presented her work at several conferences. Dr. Pandey has MPhil and PhD degrees in Applied Physics from IIT-ISM, India.

Youakim Badr, PhD
Professor of Data Analytics and Artificial Intelligence, Penn State Great Valley School of Graduate Professional Studies, Malvern, Pennsylvania, USA

Youakim Badr, PhD, is a tenured Professor of Data Analytics and Artificial Intelligence at the Penn State Great Valley School of Graduate Professional Studies, Malvern, Pennsylvania. He holds the position of Professor-in-Charge for the Master of Artificial Intelligence program. His wide-ranging academic responsibilities encompass teaching a variety of courses, including foundations of artificial intelligence, deep learning, natural language processing, data mining, predictive analytics, statistics, and design and implementation of AI-based systems. Dr. Badrs research is primarily centered on the design and deployment of trustworthy AI service systems. He adopts a comprehensive and interdisciplinary approach, emphasizing data centric AI analytics, trustworthy AI systems, and composable AI systems. He has over 140 peer-reviewed publications, including three books, to his credit. Additionally, he fulfills the role of reviewer for both national and international research funding programs (NSF, ANR, NSERC, Horizon Europe). Dr. Badr has been honored with a lifetime membership in ACM and holds an academic associate membership in the Linux Foundation for AI and Data (LFAI & Data). He received his PhD degree in Computer Science from the National Institute of Applied Sciences (INSA-Lyon), France, in 2003.




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