Description
Artificial Intelligence in Precision Drug Design, Volume 2: Advanced Applications explores the transformative role of AI in modern drug discovery and development, presenting cutting-edge research and methodologies that integrate machine learning, network pharmacology, and computational modeling to accelerate therapeutic innovation. It covers a wide range of applications, including AI-driven drug repurposing, combination therapies, cancer immunotherapy, neuroscience, vaccine development, and molecular dynamics, but also delves into emerging technologies such as quantum computing, large language models, and graph neural networks. Designed for academics, this volume provides researchers, clinicians, and graduate students with a resource on the latest AI methodologies in precision medicine.Users will find this to be a great resource that supports evidence-based innovation, fosters interdisciplinary collaboration, and equips them with insights to advance personalized healthcare solutions.- Presents state-of-the-art research on AI-driven drug repurposing, combination therapies, vaccine development, and molecular modeling, offering a comprehensive view of current innovations- Covers cutting-edge AI applications across drug discovery- Combines machine learning, network pharmacology, quantum computing, and large language models to address complex biomedical challenges with precision and scalability- Equips scholars, clinicians, and graduate students with practical insights and frameworks to accelerate personalized medicine and foster interdisciplinary collaboration
Table of Contents
1. AI-Driven Drug Repurposing and Combination Therapies: Revolutionizing Treatment Strategies and Overcoming Complex Challenges2. AI-Driven Drug Repurposing in Precision Medicine: Transforming Existing Therapies into Targeted Solutions3. AI-Driven Network Pharmacology for Drug Repurposing4. AI-Driven Network-Based Drug Repurposing: A Roadmap for Precision Medicine in Kyrgyzstan's and LMICs Resource-Limited Healthcare System5. AI in Cancer Drug Development and Immunotherapy6. AI-Driven Innovations in Neuroscience: Rewiring Precision Drug Design for Neurological Disorders7. Harnessing Artificial Intelligence for Accelerated Vaccine Development: Innovations, Applications, and Case Studies8. AI-Driven Advancements in Vaccine Development: From Discovery to Global Deployment9. The Role of Artificial Intelligence in Overcoming Challenges in Vaccine Development10. Towards Smart Drug Discovery: CogMol-VAE for Alzheimer's Therapy Optimization11. Patient Stratification and Precision Medicine Approaches—Key to Identifying Patient Subgroups for Personalized Treatment12. Large Language Models for Automated Drug Target Discovery and Literature Mining13. Predictive Modeling of Drug Suitability Using Electronic Health Records and Machine Learning14. AI-Powered Medical Imaging for Precision Drug Design: Applications in Therapeutic Targeting and Optimization15. Revolutionizing Drug Design: The Convergence of AI and Quantum Computing - A Systematic Review16. AI for Antiviral and Antibacterial Drug Discovery17. AI for Monitoring Clinical Outcomes and Adverse Events18. Revolutionizing the Power of AI's Role in Precision Medicine: Transforming Biologics, Cell, and Gene Therapy19. Artificial Intelligence in Fragment-Based and Scaffold-Hopping Approaches for Drug Discovery20. AI-Driven Drug–Drug Interaction Modeling with Graph Neural Networks: A New Era in Safer Drug Development21. Explainable AI for Structure-Based Drug Design: Concepts and Case Studies
