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Full Description
Quantum informatics for novel therapeutics is a field-guide to the new healthcare stack—where quantum computing, AI, cybersecurity, and biomedical data science converge to change what we can discover, protect, and deliver. It takes readers from the essentials of qubits, quantum algorithms, and quantum biology to practical applications across protein structure prediction, biologics engineering, mRNA design, small-molecule discovery, epidemiological intelligence, and clinical trial innovation.
Quantum computing's prowess comes from its ability to represent and process many possibilities at once through superposition and entanglement—making it uniquely suited to the combinatorial scale of chemistry and biology. As quantum hardware advances, hybrid quantum-classical workflows and quantum machine learning promise sharper molecular simulations, faster optimization, and new ways to navigate therapeutic search spaces that overwhelm classical methods.
This contributed volume blends visionary roadmapping with implementation-ready thinking: how to build reliable pipelines, secure sensitive health data in a post-quantum world, and translate quantum-AI insight into decisions that matter in the lab, the clinic, and the supply chain. If you want a clear view of what's next—and how to lead it—this book is your launchpad.
Contents
Part I. Foundations of Quantum Computing and AI in Therapeutics.- Chapter 1. Quantum Computing Applications.- Chapter 2. Fundamentals of Artificial Intelligence in Drug Discovery and Healthcare.- Chapter 3. The Convergence of Quantum Computing and AI: Accelerating Next-Generation Therapeutic Discovery.- Chapter 4. Quantum Mechanics in Biological Systems: From Foundational Phenomena to Therapeutic Frontiers.- Part II. Quantum AI Applications in Novel Therapeutics.- Chapter 5. Quantum Artificial Intelligence for Protein Structure Prediction.- Chapter 6. Designing Biologics with Quantum AI.- Chapter 7. Quantum AI in mRNA Vaccine Development.- Chapter 8. Small Molecule Drug Discovery Enhanced by Quantum AI.- Chapter 9. Quantum Simulation of Telomerase Activity in Cancer Cells: A New Frontier for Protein Target Discovery.- Chapter 10. Quantum AI for Epidemiological Intelligence and Therapeutic Supply Chains.- Chapter 11. Quantum-AI Enabled Opportunity for Maternal and Child Health Trial.- Part III. Future Directions, Challenges, and Ethical Considerations.- Chapter 12. Advances in Quantum Materials for Therapeutic Applications.- Chapter 13. Overcoming Challenges in Implementing Quantum AI.- Chapter 14. Ethical, Regulatory, and Societal Dimensions in Quantum AI.- Chapter 15. The Quantum-Bio Singularity: Synthesis of Current Paradigms and a Roadmap for Therapeutic Frontiers.
