
Quantum Computing in Medicine
Transforming Drug Discovery, Protein Folding, and Genomics Research through Artificial Intelligence Integration
- 1st Edition - January 1, 2026
- Imprint: Academic Press
- 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
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- Provides Cutting-edge Insights on Quantum Computing Applications
- Brings a Comprehensive Coverage of Complex Topics in drug discover research.
- Gives 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. Quantum Computing Fundamentals
2. Artificial Intelligence: Tools and Techniques
3. The Convergence of Quantum Computing and Artificial Intelligence
Section II: Quantum Computing in Drug Discovery and Genomics
4. Quantum-Enhanced Drug Discovery
5. Quantum Algorithms for Genomic Analysis in Systems Biology
6. Quantum Precision in Nanoparticle Drug Delivery
7. Challenges in Protein Folding
8. Quantum Computing Solutions for Protein Folding
Section IV: Practical Implications in Clinical Medicine
9. Optimising Clinical Trials with Quantum Computing
10. Navigating Technological and Ethical Challenges
Section V: The Road Ahead
11. The Need for Interdisciplinary Collaboration
12. Quantum Computing in Medicine: A Vision for the Future
- Edition: 1
- Published: January 1, 2026
- Imprint: Academic Press
- Language: English
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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.