Artificial Intelligence in Precision Drug Design, Vol: 2
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
Dr. Khalid Raza is an Associate Professor at the Department of Computer Science, Jamia Millia Islamia, New Delhi, India, and an Adjunct Professor at UCSI University, Malaysia. He has over 14 years of teaching and research experience and previously served as an ICCR Chair Visiting Professor at Ain Shams University, Egypt. Dr. Raza has published more than 160 peer-reviewed papers and authored/edited over 15 books with Springer, Elsevier, and CRC Press. He serves as Academic Editor of PLoS ONE, BMC Artificial Intelligence, and Guest Editor of npj Precision Oncology, JoVE, and several other journals. Recipient of Clarivate’s (Web of Science) India Excellence Research Citation Award 2025, Dr. Raza is consistently featured in the World’s Top 2% Scientists list (2022–2025). His research focuses on AI, bioinformatics, and health informatics