Studies in Computational Intelligence

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.- Chapter 16. Nature-based Computing Bioinformatics Approaches in Drug Discovery against Promising Molecular Targets Carbonic Anhydrases and Se 1]rine/Threonine Kinases for Cancer Treatment