Modeling and Control of Drug Delivery Systems
- 1st Edition - February 6, 2021
- Latest edition
- Editor: Ahmad Taher Azar
- Language: English
Modeling and Control of Drug Delivery Systems provides comprehensive coverage of various drug delivery and targeting systems and their state-of-the-art related works, ranging f… Read more
Description
Description
Modeling and Control of Drug Delivery Systems provides comprehensive coverage of various drug delivery and targeting systems and their state-of-the-art related works, ranging from theory to real-world deployment and future perspectives. Various drug delivery and targeting systems have been developed to minimize drug degradation and adverse effect and increase drug bioavailability. Site-specific drug delivery may be either an active and/or passive process. Improving delivery techniques that minimize toxicity and increase efficacy offer significant potential benefits to patients and open up new markets for pharmaceutical companies.
This book will attract many researchers working in DDS field as it provides an essential source of information for pharmaceutical scientists and pharmacologists working in academia as well as in the industry. In addition, it has useful information for pharmaceutical physicians and scientists in many disciplines involved in developing DDS, such as chemical engineering, biomedical engineering, protein engineering, gene therapy.
Key features
Key features
- Presents some of the latest innovations of approaches to DDS from dynamic controlled drug delivery, modeling, system analysis, optimization, control and monitoring
- Provides a unique, recent and comprehensive reference on DDS with the focus on cutting-edge technologies and the latest research trends in the area
- Covers the most recent works, in particular, the challenging areas related to modeling and control techniques applied to DDS
Readership
Readership
Researchers, graduate students, engineers and practitioners in Biomedical Engineering, Control Engineering, Chemical Engineering, Computer Engineering and Computer Science. Researchers, graduate students, and practitioners in Electrical and Electronics Engineering; Mathematics and Applied Mathematics; Engineering Mathematics; Physics; Computational Physics; and Pharmaceutical Sciences
Table of contents
Table of contents
1. Hepatitis C Virus Epidemic Control Using a Nonlinear Adaptive Strategy
2. Integral Sliding Mode Control of Immune Response for Kidney Transplantation
3. Smart Drug Delivery Systems
4. Polymeric Transdermal Drug Delivery Systems
5. Stimuli-Responsive Polymers as Smart Drug Delivery Systems
6. Efficacy of Polymer-Based Wound Dressings in Chronic Wounds
7. Recent Progress of Transdermal Drug Delivery Systems for Biomedical Applications
8. Towards the Development of Delivery Systems of Bioactive Compounds With Eyes Set on Pharmacokinetics
9. Nanofiber: An Immerging Novel Drug Delivery System
10. Molecular Dynamics Simulations on Drug Delivery Systems
11. Nanoparticle Drug Delivery: An Advanced Approach for Highly Competent and Multifunctional Therapeutic Treatment
12. Targeted Drug Delivery: Advancements, Applications, and Challenges
13. Strategies-Based Intrathecal Targeted Drug Delivery System for Effective Therapy, Modeling, and Controlled Release Action
14. Biopolymer-Based Hydrogel Wound Dressing
15. Novel Controlled Release Pulmonary Drug Delivery Systems: Current updates and Challenges
16. Nanoparticle Formulations and Delivery Strategies for Sustained Drug Release in the Lungs
17. Current Perspectives on Mycosynthesis of Nanoparticles and Their Biomedical application
18. Solid Oral Controlled-Release Formulations
19. Advanced Solid Oral Controlled-Release Formulations
20. Mucoadhesive Polymers: Gateway to Innovative Drug Delivery
Product details
Product details
- Edition: 1
- Latest edition
- Published: February 6, 2021
- Language: English
About the editor
About the editor
AT
Ahmad Taher Azar
Prof. Ahmad Azar is a full Professor at Prince Sultan University, Riyadh, Kingdom Saudi Arabia. He is the leader of Automated Systems and Computing Lab (ASCL), Prince Sultan University, Saudi Arabia.
Prof. Azar is the Editor in Chief of the International Journal of Intelligent Engineering Informatics (IJIEI), Inderscience Publishers, Olney, UK. He is also the Editor in Chief of International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) and International Journal of Sociotechnology and Knowledge Development (IJSKD) published by IGI Global, USA. From 2013 to 2017, Prof. Azar was an associate editor of ISA Transactions, Elsevier.
He is currently an editor for IEEE Transactions on Fuzzy Systems, IEEE Systems Journal, IEEE Transactions on Neural Networks and Learning Systems, Springer's Human-centric Computing and Information Sciences.
Prof. Azar specializes in artificial intelligence (AI), robotics, machine learning, control theory and applications, computational intelligence, reinforcement learning, and dynamic system modeling. He has published or co-published over 550 research papers, book chapters, and conference proceedings in prestigious peer-reviewed journals.
Dr. Ahmad Azar has received several awards, including the Benha University Prize for Scientific Excellence (2015, 2016, 2017, and 2018) and the Benha University Highest Citation Award (2015, 2016, 2017, and 2018).
In June 2018, he was awarded the Egyptian State Encouragement Award in Engineering Sciences by the Ministry of Higher Education and Scientific Research. In August 2018, he was elected as a senior member of the International Rough Set Society (IRSS).
Prof. Azar was named one of the top computer scientists in Saudi Arabia by Research.com since December 2019.
He was awarded the Egyptian President's Distinguished Egyptian Order of the First Class in February 2020.
In October 2020, Prof. Azar received Abdul Hameed Shoman Arab Researchers Award in Machine Learning and Big Data Analytics.
From October 2020 to September 2023, Prof. Azar was recognized as a Distinguished researcher at Prince Sultan University, Riyadh, Saudi Arabia.
In November 2020, October 2021, October 2022, October 2023, September 2024, and September 2025 Prof. Azar was named one of the top 2% of scientists in the world in Artificial Intelligence by Stanford University, based on single-year impact and career-long impact. These rankings were published by Stanford University in the PLOS journal and were based on the SCOPUS database.
Prof. Ahmad Azar has been recognized as one of the top ten researchers at Prince Sultan University, based on his Scopus H-index. He has also received a university award for being among his top publication of research.
Prof. Azar has received Prince Sultan University’s Research Excellence Award. He is also the recipient of the university’s Highest Impact Researcher Award, based on his H-index. Additionally, he has earned a PSU research award for having publications ranked among the top five by impact factor.
Prof. Ahmad Azar is the Vice Chair of the International Federation of Automatic Control (IFAC) Technical Committee of Control Design, Vice chair of IFAC Technical committee 4.3 Robotics, Vice chair of IFAC Technical committee 9.3 “Control for Smart Cities”. He is a technical Committee Member of Data Mining and Big Data Analytics of IEEE Computational Intelligence Society (CIS), IFAC Technical committee Member TC 2.2. Linear Control Systems, IFAC Technical committee Member TC 1.2. Adaptive and Learning Systems.