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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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 revolutionising 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.
- 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
Researchers working across the biosciences in the field of artificial intelligence, medicine and pharmacology
Section I: Foundational Concepts
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
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
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.
Affiliations and expertise
Assistant Professor, Western University of Health Sciences, College of Pharmacy, Pomona, CA, USA