Artificial Intelligence in Precision Drug Design, Volume 2
Advanced Applications
Paperback Engels 2026 9780443444302Samenvatting
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.
Specificaties
Lezersrecensies
Inhoudsopgave
2. AI-Driven Drug Repurposing in Precision Medicine: Transforming Existing Therapies into Targeted Solutions
3. AI-Driven Network Pharmacology for Drug Repurposing
4. AI-Driven Network-Based Drug Repurposing: A Roadmap for Precision Medicine in Kyrgyzstan’s and LMICs Resource-Limited Healthcare System
5. AI in Cancer Drug Development and Immunotherapy
6. AI-Driven Innovations in Neuroscience: Rewiring Precision Drug Design for Neurological Disorders
7. Harnessing Artificial Intelligence for Accelerated Vaccine Development: Innovations, Applications, and Case Studies
8. AI-Driven Advancements in Vaccine Development: From Discovery to Global Deployment
9. The Role of Artificial Intelligence in Overcoming Challenges in Vaccine Development
10. Towards Smart Drug Discovery: CogMol-VAE for Alzheimer’s Therapy Optimization
11. Patient Stratification and Precision Medicine Approaches—Key to Identifying Patient Subgroups for Personalized Treatment
12. Large Language Models for Automated Drug Target Discovery and Literature Mining
13. Predictive Modeling of Drug Suitability Using Electronic Health Records and Machine Learning
14. AI-Powered Medical Imaging for Precision Drug Design: Applications in Therapeutic Targeting and Optimization
15. Revolutionizing Drug Design: The Convergence of AI and Quantum Computing - A Systematic Review
16. AI for Antiviral and Antibacterial Drug Discovery
17. AI for Monitoring Clinical Outcomes and Adverse Events
18. Revolutionizing the Power of AI's Role in Precision Medicine: Transforming Biologics, Cell, and Gene Therapy
19. Artificial Intelligence in Fragment-Based and Scaffold-Hopping Approaches for Drug Discovery
20. AI-Driven Drug–Drug Interaction Modeling with Graph Neural Networks: A New Era in Safer Drug Development
21. Explainable AI for Structure-Based Drug Design: Concepts and Case Studies
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