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Quantum Health AI
The Revolution of Medicine, Public Health, and Global Health by Quantum Computing-Powered Artificial Intelligence
- 1st Edition - June 1, 2025
- Author: Dominique J Monlezun
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 3 5 3 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 3 5 4 - 5
Quantum Health AI: The Revolution of Medicine, Public Health, and Global Health by Quantum Computing-Powered Artificial Intelligence addresses the challenges of defining minimu… Read more
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Request a sales quoteQuantum Health AI: The Revolution of Medicine, Public Health, and Global Health by Quantum Computing-Powered Artificial Intelligence addresses the challenges of defining minimum concepts and principles in various domains and disciplines to allow ecosystem interoperability across diverse actors. The book articulates a strategic vision for quantum health AI, focusing on the intersections of quantum technologies, health, and artificial intelligence. It bridges these domains through tangible advancements and offers insights to a wide-ranging audience, comprising individuals from diverse sectors, states, disciplines, cultures, and belief systems. Users will find a common method, language, and practical solutions for defining, defending, and implementation.
The book also explores the historical context and future evolution of quantum health AI, highlighting critical points where this evolution can be influenced to achieve a mutually desired outcome. The book’s comprehensive, interdisciplinary, and global approach makes it a robust and versatile resource, setting it apart from other resources in the field.
The book also explores the historical context and future evolution of quantum health AI, highlighting critical points where this evolution can be influenced to achieve a mutually desired outcome. The book’s comprehensive, interdisciplinary, and global approach makes it a robust and versatile resource, setting it apart from other resources in the field.
- Covers all aspects of workflow, from mapping conceptual frameworks and problem framing to solution identification, iterative optimization, and feedback integration
- Provides broadly accessible explanations of complicated societal and technological advances
- Pioneers a unified map of the emergent future of quantum health AI
Researchers in computer science and engineering, as well as practitioners in public health, medicine, health policy, public policy, political science, economics, and ethics. As such, academics, researchers, and professionals in a variety of research fields who work with AI, algorithms, and quantum computing, and their applications to various real-world research and healthcare administration problems will be a target audience
1: Quantum AI’s health revolution: Computing history and humanity’s future
1.1. From hand to digital to quantum: Computing, sensing, and communication
1.2. Our present’s global digital ecosystem versus global power structures
1.3. Evolution of the global health ecosystem
1.4. Our quantum AI future: Present wins and future trends
1.5. Why this book is needed and unique: Comprehensive, global, actionable
1.6. Our final evolution: Dignity, security, and development at quantum scale
2: Quantum’s data revolution
2.1. Digital’s Third Industrial Revolution
2.2. AI’s Fourth Industrial Revolution
2.3. Quantum’s AI supercharge: Terms, history, players, and trends
2.2. Quantum’s take-over of the global data architecture
2.3. Quantum arms race: militaries, corporations, and US-China tensions
2.4. Quantum supremacy, error correction, fault tolerance, and teleportation
2.5. Quantum algorithm platform service on the cloud
2.6. Quantum machine learning and deep learning
2.7. Generative AI
3: Quantum’s data security revolution
3.1. Our obsolete (digital RSA) cybersecurity? “Harvest now, decrypt later”
3.2. Military and health cyber-attacks
3.3. Quantum-safe cybersecurity standards
3.4. Democratizing and commercializing quantum security: IBM’s z16 and Cloud
3.5. Entanglement-based remote security
3.6. From quantum data security to human security
4. Quantum AI for medicine
4.1. Multi-omics
4.2. Drug discovery
4.3. Medical devices
4.4. Diagnostics
4.5. Treatment pathways
4.6. Population health
4.7. System optimization
5: Quantum AI for public health
5.1. Social and political economic determinants of health
5.2. Water, sanitation, and nutrition.
5.3. Maternal and child health
5.4. Communicable and non-communicable disease prevention and screening
5.5. Environmental and workplace health
5.6. Immunizations
5.7. Health economics
5.8. Global ethics and policy
6: Quantum AI for global health
6.1. Sustainable Development Goals
6.2. Human security
6.3. Poverty and hunger
6.4. Energy: Sustainable, affordable, accessible
6.5. Education
6.6. Climate mitigation and biodiversity
6.7. Conflicts
6.8. Pandemics
7: Quantum physics to personalist quantum metaphysics: From science to ethics
7.1. Global AI ethics principles, regulations, and norms
7.2. Relevance versus futility: Liberty versus equality
7.3. WHO versus public versus private regulation
7.4. Decolonized global ethics: Global North’s principles and South’s relationality
7.5. Personalist Social Contract quantum AI ethics
7.6. AI to quantum AI ethics: Trustworthy, reliable, safe, fair, pluralistic
7.7. Embedded co-design ethics at scale, speed, and specificity
1.1. From hand to digital to quantum: Computing, sensing, and communication
1.2. Our present’s global digital ecosystem versus global power structures
1.3. Evolution of the global health ecosystem
1.4. Our quantum AI future: Present wins and future trends
1.5. Why this book is needed and unique: Comprehensive, global, actionable
1.6. Our final evolution: Dignity, security, and development at quantum scale
2: Quantum’s data revolution
2.1. Digital’s Third Industrial Revolution
2.2. AI’s Fourth Industrial Revolution
2.3. Quantum’s AI supercharge: Terms, history, players, and trends
2.2. Quantum’s take-over of the global data architecture
2.3. Quantum arms race: militaries, corporations, and US-China tensions
2.4. Quantum supremacy, error correction, fault tolerance, and teleportation
2.5. Quantum algorithm platform service on the cloud
2.6. Quantum machine learning and deep learning
2.7. Generative AI
3: Quantum’s data security revolution
3.1. Our obsolete (digital RSA) cybersecurity? “Harvest now, decrypt later”
3.2. Military and health cyber-attacks
3.3. Quantum-safe cybersecurity standards
3.4. Democratizing and commercializing quantum security: IBM’s z16 and Cloud
3.5. Entanglement-based remote security
3.6. From quantum data security to human security
4. Quantum AI for medicine
4.1. Multi-omics
4.2. Drug discovery
4.3. Medical devices
4.4. Diagnostics
4.5. Treatment pathways
4.6. Population health
4.7. System optimization
5: Quantum AI for public health
5.1. Social and political economic determinants of health
5.2. Water, sanitation, and nutrition.
5.3. Maternal and child health
5.4. Communicable and non-communicable disease prevention and screening
5.5. Environmental and workplace health
5.6. Immunizations
5.7. Health economics
5.8. Global ethics and policy
6: Quantum AI for global health
6.1. Sustainable Development Goals
6.2. Human security
6.3. Poverty and hunger
6.4. Energy: Sustainable, affordable, accessible
6.5. Education
6.6. Climate mitigation and biodiversity
6.7. Conflicts
6.8. Pandemics
7: Quantum physics to personalist quantum metaphysics: From science to ethics
7.1. Global AI ethics principles, regulations, and norms
7.2. Relevance versus futility: Liberty versus equality
7.3. WHO versus public versus private regulation
7.4. Decolonized global ethics: Global North’s principles and South’s relationality
7.5. Personalist Social Contract quantum AI ethics
7.6. AI to quantum AI ethics: Trustworthy, reliable, safe, fair, pluralistic
7.7. Embedded co-design ethics at scale, speed, and specificity
- No. of pages: 250
- Language: English
- Edition: 1
- Published: June 1, 2025
- Imprint: Academic Press
- Paperback ISBN: 9780443333538
- eBook ISBN: 9780443333545
DM
Dominique J Monlezun
Dominique J. Monlezun MD, PhD, PhD, MPHUT MD is a practicing physician-data scientist and ethicist. He earned his first AI-focused PhD in Global Health Management & Policy and his second PhD in Bioethics (with the latter recognized by Microsoft as producing the world’s top AI ethics doctoral dissertation). He serves as Professor of Cardiology for two American academic medical institutions, Professor of Bioethics for two United Nations-affiliated universities, and the Principal Investigator and Senior Data Scientist and Biostatistician for over 50 research studies associated with Harvard University, the National Institutes of Health, and the European Union, among others. He has authored over 350 peer-reviewed manuscripts and abstracts and book chapters, in addition to the first three comprehensive AI textbooks on bioethics, metaphysics, and public health. He created ML-PSr AI-statistics and Personalist Social Contract ethics after cofounding Culinary Medicine. He has provided medical care for thousands of immigrants, imprisoned, and underserved patients.
Affiliations and expertise
Anderson Cancer Center, Houston, TX, USA