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
