
Quantum Computing in Medicine
Transforming Drug Discovery, Protein Folding, and Genomics Research through Artificial Intelligence Integration
- 1st Edition - January 1, 2026
- Editor: Don Roosan
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 4 1 9 3 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 4 1 9 4 - 6
Quantum Computing in Medicine: Transforming Drug Discovery, Protein Folding, and Genomics Research through Artificial Intelligence Integration offers an insightful examin… Read more

- Provides cutting-edge insights on quantum computing applications
- Offers a comprehensive coverage of complex topics in drug discovery research
- Gives an insight into forward-looking perspectives on genomics and personalized medicine for industry and academia
- Bridges the knowledge gaps between complex quantum computing concepts and their practical applications in the medical industry
1. 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 Genomics
7. 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 Medicine
12. 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 Ahead
16. 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
- Edition: 1
- Published: January 1, 2026
- Language: English
DR
Don Roosan
Dr. Roosan, Assistant Professor at the Western University of Health Sciences, College of Pharmacy, Pomona, CA, USA currently teaches courses in core curricula related to Biostatistics, and Informatics. He has experience in teaching courses health data analytics, pharmacogenomics, population epidemiology and health informatics.
The goal of Dr. Roosan’s program of research is to promote health and reduce health disparities in chronic and under deserved population through the application of innovative informatics and data science methods. His passion in research revolves around applying informatics, data analytics and health information technology to leverage Big Data in health care to improve safety, quality and reduce costs. Dr. Roosan is currently working with projects on augmented reality, improving medication adherence, utilizing omics data, using artificial intelligence to predict adverse events and designing clinical decisions support systems.