Metaheuristics for Medicine and Biology 1st Edition by Amir Nakib, Ghazali Talbi ISBN 3662544261 9783662544266

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ISBN 10:      3662544261

ISBN 13: 978-3662544266 

Author:     Amir Nakib, El Ghazali Talbi 

This book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and electrical and electronic engineering, and attracted the interest of many researchers.

To deal with these problems, many traditional and recent methods, algorithms and techniques have been proposed. Among them, metaheuristics is the most common choice. This book provides essential content for senior and young researchers interested in methodologies for implementing metaheuristics to help solve biomedical engineering problems.

Metaheuristics for Medicine and Biology 1st Table of contents:

• Introduction

  • Overview of Metaheuristics
  • The Role of Metaheuristics in Medicine and Biology
  • Applications and Challenges
  • Structure and Organization of the Book

• Metaheuristic Algorithms

  • Introduction to Metaheuristic Algorithms
  • Types of Metaheuristics (Genetic Algorithms, Simulated Annealing, Particle Swarm Optimization, etc.)
  • Basic Terminology and Concepts
  • Comparison of Metaheuristics

• Optimization Techniques and Their Applications

  • Optimization Problems in Medicine and Biology
  • Classic Optimization Methods vs. Metaheuristics
  • Solving Nonlinear and Complex Problems in Biological and Medical Research

• Genetic Algorithms in Medicine and Biology

  • Basics of Genetic Algorithms
  • Applications of Genetic Algorithms in Medicine
  • Medical Data Analysis with Genetic Algorithms
  • Case Studies and Examples

• Particle Swarm Optimization in Healthcare

  • Introduction to Particle Swarm Optimization (PSO)
  • Applications of PSO in Medical Research
  • PSO for Medical Image Processing and Diagnostics
  • Case Studies

• Ant Colony Optimization for Biological Systems

  • Fundamentals of Ant Colony Optimization (ACO)
  • ACO in Biological Pathways and Genetic Studies
  • Applications in Drug Discovery and Molecular Biology

• Simulated Annealing and Its Applications in Healthcare

  • Overview of Simulated Annealing
  • Applications in Medical Diagnostics
  • Genetic Sequencing and Medical Data Optimization

• Tabu Search and Its Role in Medical Problems

  • Basics of Tabu Search Algorithms
  • Application in Disease Diagnosis and Treatment
  • Tabu Search for Health Network Optimization

• Applications in Bioinformatics

  • Metaheuristics in DNA Sequence Alignment
  • Protein Folding and Structure Prediction
  • Clustering and Classification in Bioinformatics
  • Case Studies in Genomic Data Analysis

• Medical Imaging and Metaheuristics

  • Image Segmentation Using Metaheuristics
  • Feature Extraction and Classification in Medical Imaging
  • Optimization for Image Registration in Medical Diagnostics

• Data Mining in Medicine and Biology

  • Data Mining Techniques in Healthcare
  • Using Metaheuristics for Feature Selection and Classification
  • Applications in Medical Data Mining
  • Case Studies in Predictive Modeling for Disease Diagnosis

• Metaheuristics in Drug Discovery

  • Optimization in Drug Design
  • Virtual Screening and Molecular Docking
  • Metaheuristic Approaches for Drug-Target Interaction Prediction

• Optimization in Personalized Medicine

  • Introduction to Personalized Medicine
  • Using Metaheuristics for Tailored Treatment Plans
  • Applications in Genomic Medicine and Precision Healthcare

• Challenges and Future Directions

  • Limitations of Metaheuristics in Medicine and Biology
  • Future Trends and Advances in Metaheuristics for Healthcare
  • The Role of Artificial Intelligence and Machine Learning in Medical Optimization

• Conclusion

  • Summary of Key Findings
  • Final Thoughts on the Impact of Metaheuristics in Medicine and Biology

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