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Quantum Computing in Medicine

Transforming Drug Discovery, Protein Folding, and Genomics Research through Artificial Intelligence Integration

  • 1st Edition - January 29, 2026
  • Latest edition
  • Editor: Don Roosan
  • Language: English

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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Description

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.

Key features

  • 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

Readership

Researchers working across the biosciences in the field of artificial intelligence, medicine and pharmacology

Table of contents

SECTION I: Foundational concepts

1. Overview of quantum physics

2. Introduction to quantum computing

3. The convergence of quantum computing and machine learning

4. The state of digital health and artificial intelligence in healthcare

5. Current tools and techniques of artificial intelligence in healthcare

6. Machine learning algorithms and tools in medicine
SECTION II: Quantum computing in drug discovery and genomics

7. Molecular simulation and drug design in the quantum era

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 in a post quantum world

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. Getting ready for a quantum future

Product details

  • Edition: 1
  • Latest edition
  • Published: January 29, 2026
  • Language: English

About the editor

DR

Don Roosan

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.

Affiliations and expertise
Associate Professor, School of Computational Sciences, Merrimack College, North Andover, MA, USA

View book on ScienceDirect

Read Quantum Computing in Medicine on ScienceDirect