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Quantum Computing in Medicine: Transforming Drug Discovery, Protein Folding, and Genomics Research through Artificial Intelligence Integration offers an insightful examination of the groundbreaking role of quantum computing in revolutionizing aspects of the medical industry. This book focuses on the profound impact that quantum computational capabilities are poised to have on drug discovery, protein folding, and, notably, genomics research. It outlines the fundamental principles of quantum computing and its complementary relationship with artificial intelligence (AI), highlighting their combined potential to solve intricate biological problems with unparalleled speed compared to traditional computational methods. Special emphasis is placed on the advancements and research efforts in leveraging quantum algorithms for the analysis of genetic data, the acceleration of genomic sequencing processes, and the enhancement of personalised medicine strategies. By providing a thorough exploration of practical applications and the current state of quantum computing in genomics, the book navigates through the challenges and ethical implications of integrating these forward-thinking technologies into healthcare systems. Aimed at professionals, scholars, and enthusiasts within the realms of medicine, computer science, and quantum physics, "Quantum Computing in Medicine" offers a forward-looking perspective on the future of genomics research and healthcare, illuminated by the innovative light of quantum computing and AI.
List of contents
Section I: Foundational Concepts1. Overview of Quantum Physics
2. Quantum Computing Fundamentals
3. The Convergence of Quantum Computing and Machine Learning
4. State of Digital Health and AI in Healthcare
5. Current Tools and Techniques of Artificial Intelligence in Healthcare
6. Machine Learning Algorithm and Tools in Medicine
Section II: Quantum Computing in Drug Discovery and Genomics7. Molecular Simulation and Drug Design
8. Quantum Algorithms for Genomic Analysis in Systems Biology
9. Quantum Precision in Nanoparticle Drug Delivery
10. Challenges in Protein Folding
11. Quantum Computing Solutions for Protein Folding
Section III: Practical Implications in Clinical Medicine12. Optimizing Clinical Trials with Artificial Intelligence
13. Advances in mixed reality in Quantum Computing
14. Navigating Technological and Ethical Challenges
15. Post-Quantum Cryptography
Section IV: The Road Ahead16. Global and public health implications for quantum computing
17. Leveraging Material Sciences for Enhanced Biomedicine
18. Quantum Computing in Medicine: A Vision for the Future
About the author
Don Roosan is an Associate Professor in the Department of Computer Science at Merrimack College and is an Expert in both quantum computing and artificial intelligence. His research centers on quantum algorithms and quantum biosimulation to accelerate drug discovery, decode protein folding, and advance genomics. A scholar-practitioner, he integrates AI with quantum methods to deliver clinically relevant and scalable solutions. Dr. Roosan has earned numerous honors and awards in biomedical informatics, recognizing his rigorous scholarship and impact. He also mentors teams and builds cross‑disciplinary programs that translate frontier science into healthcare technology innovation, underscoring his mastery and leadership at the intersection of quantum science, AI, and medicine. He has led major, competitively funded grants and edited volumes on quantum computing in medicine. A recognized quantum AI Expert, he brings algorithms and biosimulation to real‑world clinical translation.
