Part-I: Preliminaries -- Chapter 1. The Scope and Applications of Nature-Inspired Computing in Bioinformatics -- Chapter 2. Leveraging Healthcare System with Nature-Inspired Computing Techniques: An Overview and Future Perspective -- Part-II: Nature-Inspired Computing in Cancer Research -- Chapter 3. Nature-Inspired Computing in Breast Cancer Research: Overview, Perspective and Challenges of the State-of-the-art Techniques -- Chapter 4. Advances in Genomic Profiling of Colorectal Cancer using Nature[1]Inspired Computing Techniques -- Chapter 5. Potential Role of the Nature-Inspired Algorithms for Classification of High-dimensional and Complex Gene Expression Data -- Chapter 6. Optimized Nature-Inspired Computing Algorithms for Lung Disorder Detection -- Chapter 7. Overview and Classification of Swarm Intelligence-based Nature[1]Inspired Computing Algorithms and their Applications in Cancer Detection and Diagnosis -- Chapter 8. Nature-Inspired Computing: Scope and applications of Artificial Immune Systems towards Analysis and Diagnosis of Complex Problems -- Chapter 9. Nature-Inspired Computing: Bat echolocation to BAT algorithm -- Chapter 10. Social, Emotional and Ethical (SEE) Attributes, Which Configures Our Bioinformatics Systems to Activate the Hidden Forces to Shape Human Decisions -- Part III: Nature-Inspired Computing in Drug Design, Development, and Therapeutics -- Chapter 11. Applications of Nature-Inspired Computing and Artificial Intelligence Algorithms in Solving Personalized Therapy Complications -- Chapter 12. Role of Nature-Inspired Intelligence in Genomic Diagnosis of Antimicrobial Resistance -- Chapter 13. Consequential Innovations in Nature-Inspired Intelligent Computing Techniques for Biomarkers and Potential Therapeutics Identification -- Chapter 14. Nature-Inspired Computing Techniques in Drug Design, Development, and Therapeutics -- Chapter 15. Illustrious Implications of Nature-Inspired Computing Methods in Therapeutics and Computer-Aided Drug Design -- Chapter16. Nature-based Computing Bioinformatics Approaches in Drug Discovery against Promising Molecular Targets Carbonic Anhydrases and Se[1]rine/Threonine Kinases for Cancer Treatment.