AI-Powered Drug Delivery to Neuro and Cardiovascular Systems: Perspectives and Future Challenges is a definitive reference exploring the transformative influence of Artificial Intelligence (AI) in neuro and cardiovascular drug delivery. This book integrates cutting-edge research to explain how AI is poised to reshape clinical protocols, therapeutic strategies, and regulatory standards. By examining advancements in robotics and intelligent systems, it demonstrates how AI enhances precision, personalization, and efficiency in drug delivery for heart and neurological conditions, providing readers with a thorough understanding of these innovations and their potential to revolutionize healthcare practices.
The book delves into AI-driven drug design and testing for cardiovascular diseases and explores the application of AI in cardiac drug delivery vehicles. It discusses bioengineered heart and vessel therapeutics, redox homeostasis, and targeted drug replenishment in cardiac matrix remodeling. Additionally, it addresses mitochondrial drug retention, AI-assisted gene therapy for neurodegenerative disorders, and the role of AI in optimizing heart health. The text highlights smart systems for managing cerebrovascular accidents and neuromodulation with pharmacotherapy. Finally, it covers translational challenges, future directions, and the significance of AI-driven prediction models and robotic delivery mechanisms.
1. Chapter 1. Artificial intelligence and brain–computer interface in cardiology and neurology—Introduction - p. 1 2. Section I: Fundamentals and concepts - p. S15 3. Chapter 2. Fundamentals of artificial intelligence in neurological and cardiovascular drug delivery - p. 17 4. Chapter 3. Current artificial intelligence practices in the management of cardiovascular and neurological diseases - p. 43 5. Chapter 4. Artificial intelligence research methodologies in cardiovascular medicine - p. 55 6. Section II: AI-supported drug delivery - p. S119 7. Chapter 5. Artificial intelligence in cardiac drug delivery vehicles - p. 121 8. Chapter 6. Bioengineered heart and vessels: insights on artificial intelligence-based drug release approaches - p. 165 9. Chapter 7. Artificial intelligence inspired redox homeostasis of cardiovascular system: next-gen drug therapy - p. 183 10. Chapter 8. AI-targeted drug replenishment in cardiac matrix remodeling and regeneration - p. 199 11. Chapter 9. Mitochondrial drug retention: novel avenues in artificial intelligence - p. 217 12. Chapter 10. AI assisted pharmacotherapy for advanced affordable personalized medicines in neuro and cardiovascular diseases - p. 229 13. Chapter 11. Neuromodulation with pharmacotherapy: an artificial intelligence perspective - p. 261 14. Section III: Management and future - p. S293 15. Chapter 12. Artificial intelligence-driven cardiology advances: Advanced neural networks revolutionizing heart disease prediction and prevention - p. 295 16. Chapter 13. Augmented optimization of medical side effects—avoiding the crisis of complications with artificial intelligence - p. 328 17. Chapter 14. Smart systems for the management of cerebrovascular accidents: integrating artificial intelligence with targeted drug delivery - p. 371 18. Chapter 15. Translational significance of artificial intelligence in cardio and neurovascular drug delivery - p. 407 19. Index - p. 415
AI-Powered Drug Delivery to Neuro and Cardiovascular Systems: Perspectives and Future Challenges is a definitive reference exploring the transformative influence of Artificial Intelligence (AI) in neuro and cardiovascular drug delivery. This book integrates cutting-edge research to explain how AI is poised to reshape clinical protocols, therapeutic strategies, and regulatory standards. By examining advancements in robotics and intelligent systems, it demonstrates how AI enhances precision, personalization, and efficiency in drug delivery for heart and neurological conditions, providing readers with a thorough understanding of these innovations and their potential to revolutionize healthcare practices.
The book delves into AI-driven drug design and testing for cardiovascular diseases and explores the application of AI in cardiac drug delivery vehicles. It discusses bioengineered heart and vessel therapeutics, redox homeostasis, and targeted drug replenishment in cardiac matrix remodeling. Additionally, it addresses mitochondrial drug retention, AI-assisted gene therapy for neurodegenerative disorders, and the role of AI in optimizing heart health. The text highlights smart systems for managing cerebrovascular accidents and neuromodulation with pharmacotherapy. Finally, it covers translational challenges, future directions, and the significance of AI-driven prediction models and robotic delivery mechanisms.
1. Chapter 1. Artificial intelligence and brain–computer interface in cardiology and neurology—Introduction - p. 1 2. Section I: Fundamentals and concepts - p. S15 3. Chapter 2. Fundamentals of artificial intelligence in neurological and cardiovascular drug delivery - p. 17 4. Chapter 3. Current artificial intelligence practices in the management of cardiovascular and neurological diseases - p. 43 5. Chapter 4. Artificial intelligence research methodologies in cardiovascular medicine - p. 55 6. Section II: AI-supported drug delivery - p. S119 7. Chapter 5. Artificial intelligence in cardiac drug delivery vehicles - p. 121 8. Chapter 6. Bioengineered heart and vessels: insights on artificial intelligence-based drug release approaches - p. 165 9. Chapter 7. Artificial intelligence inspired redox homeostasis of cardiovascular system: next-gen drug therapy - p. 183 10. Chapter 8. AI-targeted drug replenishment in cardiac matrix remodeling and regeneration - p. 199 11. Chapter 9. Mitochondrial drug retention: novel avenues in artificial intelligence - p. 217 12. Chapter 10. AI assisted pharmacotherapy for advanced affordable personalized medicines in neuro and cardiovascular diseases - p. 229 13. Chapter 11. Neuromodulation with pharmacotherapy: an artificial intelligence perspective - p. 261 14. Section III: Management and future - p. S293 15. Chapter 12. Artificial intelligence-driven cardiology advances: Advanced neural networks revolutionizing heart disease prediction and prevention - p. 295 16. Chapter 13. Augmented optimization of medical side effects—avoiding the crisis of complications with artificial intelligence - p. 328 17. Chapter 14. Smart systems for the management of cerebrovascular accidents: integrating artificial intelligence with targeted drug delivery - p. 371 18. Chapter 15. Translational significance of artificial intelligence in cardio and neurovascular drug delivery - p. 407 19. Index - p. 415
