Full Description
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.
Contents
1. Introduction
Section I: Fundamentals and concepts
2. AI and ML in translational drug delivery.
3. Current AI practices in the management of cardiovascular and neurological diseases.
4. AI-enhanced drug design and testing for cardiovascular diseases.
Section II: AI-supported drug delivery
5. Artificial intelligence in cardiac drug delivery vehicles
6. Bioengineered heart and vessels: Insights on AI-based drug release approaches.
7. AI-inspired redox homeostasis of cardiovascular system: Next-gen drug therapy
8. AI-targeted drug replenishment in cardiac matrix remodeling and regeneration.
9. Mitochondrial drug retention: Novel avenues in AI
10. AI-assisted pharmaco and gene therapy for neurodegenerative diseases
11. Neuromodulation with pharmacotherapy: An AI perspective
Section III: Management and future
12. AI in Heart Health
13. Augmented optimization of medical side effects - avoiding the crisis of complication.
14. Smart systems for the management of cerebrovascular accidents.
15. Translational challenges and future.
