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.- 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
Table of Contents
SECTION I: Foundational concepts 1. Overview of quantum physics2. Introduction to quantum computing3. The convergence of quantum computing and machine learning4. The state of digital health and artificial intelligence in healthcare5. Current tools and techniques of artificial intelligence in healthcare6. Machine learning algorithms and tools in medicineSECTION II: Quantum computing in drug discovery and genomics7. Molecular simulation and drug design in the quantum era8. Quantum algorithms for genomic analysis in systems biology9. Quantum precision in nanoparticle drug delivery10. Challenges in protein folding11. Quantum computing solutions for protein foldingSECTION III: Practical implications in clinical medicine12. Optimizing clinical trials with artificial intelligence13. Advances in mixed reality in quantum computing14. Navigating technological and ethical challenges in a post quantum world15. Post-quantum cryptographySECTION IV: The road ahead16. Global and public health implications for quantum computing17. Leveraging material sciences for enhanced biomedicine18. Getting ready for a quantum future
