Artificial Intelligence in Precision Drug Design, Volume 2: Advanced Applications
Advanced Applications of Bioinformatics in Precision Drug Design: Volume 2: Advanced Applications explores the transformative role of AI in modern drug discovery and development. This volume presents cutting-edge research and methodologies that integrate machine learning, network pharmacology, and computational modeling to accelerate therapeutic innovation. The book covers a wide range of applications, including AI-driven drug repurposing, combination therapies, cancer immunotherapy, neuroscience, vaccine development, and molecular dynamics. It also delves into emerging technologies such as quantum computing, large language models, and graph neural networks, offering a comprehensive view of how AI reshapes biomedical research. Designed for an academic audience, this volume provides researchers, clinicians, and graduate students with a rich resource to understand the latest AI methodologies in precision medicine. It supports evidence-based innovation, fosters interdisciplinary collaboration, and equips readers with insights to advance personalized healthcare solutions.
1148365733
Artificial Intelligence in Precision Drug Design, Volume 2: Advanced Applications
Advanced Applications of Bioinformatics in Precision Drug Design: Volume 2: Advanced Applications explores the transformative role of AI in modern drug discovery and development. This volume presents cutting-edge research and methodologies that integrate machine learning, network pharmacology, and computational modeling to accelerate therapeutic innovation. The book covers a wide range of applications, including AI-driven drug repurposing, combination therapies, cancer immunotherapy, neuroscience, vaccine development, and molecular dynamics. It also delves into emerging technologies such as quantum computing, large language models, and graph neural networks, offering a comprehensive view of how AI reshapes biomedical research. Designed for an academic audience, this volume provides researchers, clinicians, and graduate students with a rich resource to understand the latest AI methodologies in precision medicine. It supports evidence-based innovation, fosters interdisciplinary collaboration, and equips readers with insights to advance personalized healthcare solutions.
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Artificial Intelligence in Precision Drug Design, Volume 2: Advanced Applications

Artificial Intelligence in Precision Drug Design, Volume 2: Advanced Applications

Artificial Intelligence in Precision Drug Design, Volume 2: Advanced Applications

Artificial Intelligence in Precision Drug Design, Volume 2: Advanced Applications

Overview

Advanced Applications of Bioinformatics in Precision Drug Design: Volume 2: Advanced Applications explores the transformative role of AI in modern drug discovery and development. This volume presents cutting-edge research and methodologies that integrate machine learning, network pharmacology, and computational modeling to accelerate therapeutic innovation. The book covers a wide range of applications, including AI-driven drug repurposing, combination therapies, cancer immunotherapy, neuroscience, vaccine development, and molecular dynamics. It also delves into emerging technologies such as quantum computing, large language models, and graph neural networks, offering a comprehensive view of how AI reshapes biomedical research. Designed for an academic audience, this volume provides researchers, clinicians, and graduate students with a rich resource to understand the latest AI methodologies in precision medicine. It supports evidence-based innovation, fosters interdisciplinary collaboration, and equips readers with insights to advance personalized healthcare solutions.

Product Details

ISBN-13: 9780443444302
Publisher: Elsevier Science
Publication date: 05/01/2026
Pages: 330
Product dimensions: 7.50(w) x 9.25(h) x (d)

About the Author

Dr. Khalid Raza is working as an Associate Professor at the Department of Computer Science, Jamia Millia Islamia, New Delhi. Earlier he worked as an “ICCR Chair Professor” at Ain Shams University, Cairo, Egypt. He has many years of teaching & research experiments in the field of Translational Bioinformatics and Computational Intelligence. He has contributed over 120 research articles in reputed Journals and Edited Books. Dr. Raza has authored/edited dozens of books published by reputed publishers. Dr. Raza is an Academic Editor of PeerJ Computer Science International Journal, and Guest Editor of the Journal Natural Product Communications. He has an active collaboration with the scientists from leading institutions of India and abroad. Recently, Dr. Raza has been featured in the list of Top 2% Scientists released by Stanford University (USA) in collaboration with Elsevier. His research interest lies in Machine Learning and its applications in Bioinformatics and Health-informatics.

Table of Contents

1. AI-Driven Drug Repurposing and Combination Therapies: Revolutionizing Treatment Strategies and Overcoming Complex Challenges
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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