Contents

Chapters in this book

1. Frontmatter I
2. Contents V
3. List of contributors VII
4. Blockchain technology to secure medical data sharing in machine learning applications ensure privacy and integrity 1
5. AI-powered sensors and devices for sustained health tracking 39
6. Development of AI-driven biomedical sensors and devices optimization for continuous health monitoring 89
7. Design and development of AI-driven biomedical sensors and devices and their optimization for continuous health monitoring 131
8. Machine learning-driven personalized medicine: customized drug delivery systems and patient-specific material applications 193
9. Personalized medicine using customized drug delivery systems and patient-specific material solutions, enabled by machine learning algorithms 239
10. AI-driven drug design exploring molecular docking and lead optimization using machine learning algorithms 297
11. Machine learning models for predicting drug toxicity and side effects 335
12. Machine learning innovations in biomedical materials from drug discovery to personalized medicine 395
13. High-throughput screening for novel medical materials: machine learning-enabled approaches 445
14. Automated materials characterization using machine learning for screening biocompatible materials 489
15. Machine learning algorithms for enhanced medical image analysis and diagnostics 541
16. Transforming healthcare with machine learning 585
17. Revolutionizing healthcare 635
18. Index 687
19. De Gruyter Series in Advanced Mechanical Engineering