Machine Learning for Medical Applications
eBook - ePub

Machine Learning for Medical Applications

Computational Drug Discovery, Bioimaging, Smart Biomaterials

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Machine Learning for Medical Applications

Computational Drug Discovery, Bioimaging, Smart Biomaterials

About this book

Machine Learning for Medical Applications – Volume I provides an in-depth look into the frontier of artificial intelligence in healthcare, bringing together contributions from leading researchers and innovators. This volume focuses on three critical areas: computational drug discovery, advanced bioimaging techniques, and the development of smart biomaterials for medical use. Readers will discover how machine learning is revolutionizing personalized medicine, improving diagnostic accuracy, and enabling the design of AI-driven biomedical sensors and therapeutic systems. With practical insights into algorithmic modeling, drug toxicity prediction, and materials screening, this book bridges the gap between data science and clinical applications. Ideal for professionals, academics, and students in biomedical engineering, computer science, and medical informatics, this book highlights the synergistic potential of machine learning and modern medicine in shaping the future of healthcare.

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Yes, you can access Machine Learning for Medical Applications by Ranjith Rajamanickam,Amit Sharma,Dhivya Ranjith,J. Paulo Davim in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Title Page
  2. Copyright
  3. Contents
  4. Frontmatter
  5. Contents
  6. List of contributors
  7. Blockchain technology to secure medical data sharing in machine learning applications ensure privacy and integrity
  8. AI-powered sensors and devices for sustained health tracking
  9. Development of AI-driven biomedical sensors and devices optimization for continuous health monitoring
  10. Design and development of AI-driven biomedical sensors and devices and their optimization for continuous health monitoring
  11. Machine learning-driven personalized medicine: customized drug delivery systems and patient-specific material applications
  12. Personalized medicine using customized drug delivery systems and patient-specific material solutions, enabled by machine learning algorithms
  13. AI-driven drug design exploring molecular docking and lead optimization using machine learning algorithms
  14. Machine learning models for predicting drug toxicity and side effects
  15. Machine learning innovations in biomedical materials from drug discovery to personalized medicine
  16. High-throughput screening for novel medical materials: machine learning-enabled approaches
  17. Automated materials characterization using machine learning for screening biocompatible materials
  18. Machine learning algorithms for enhanced medical image analysis and diagnostics
  19. Transforming healthcare with machine learning
  20. Revolutionizing healthcare
  21. Index
  22. Index