Nature-Inspired Intelligent Computing Techniques in Bioinformatics

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

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-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-Inspired Computing Algorithms and Their Applications in Cancer Detection and Diagnosis

Chapter 8 Nature-Inspired Computing: Scope and Applications of Artificial Immune Systems Toward 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

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 Serine/Threonine Kinases for Cancer Treatment