Quantum Informatics for Novel Therapeutics : AI-Enhanced Cybersecurity and Data Science for Next-Generation Healthcare

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 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.