Quantum Computing in Medicine: Transforming Drug Discovery, Protein Folding, and Genomics Research through Artificial Intelligence Integration
Editat de Don Roosanen Limba Engleză Paperback – 30 ian 2026
- 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
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Specificații
ISBN-13: 9780443341939
ISBN-10: 0443341931
Pagini: 562
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443341931
Pagini: 562
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Cuprins
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
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