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A Handbook of Artificial Intelligence in Drug Delivery explores the use of Artificial Intelligence (AI) in drug delivery strategies. The book covers pharmaceutical AI and drug discovery challenges, Artificial Intelligence tools for drug research, AI enabled intelligent drug delivery systems and next generation novel therapeutics, broad utility of AI for designing novel micro/nanosystems for drug delivery, AI driven personalized medicine and Gene therapy, 3D Organ printing and tissue engineering, Advanced nanosystems based on AI principles (nanorobots, nanomachines), opportunities and challenges using artificial intelligence in ADME/Tox in drug development, commercialization and regulatory perspectives, ethics in AI, and more.
This book will be useful to academic and industrial researchers interested in drug delivery, chemical biology, computational chemistry, medicinal chemistry and bioinformatics. The massive time and costs investments in drug research and development necessitate application of more innovative techniques and smart strategies.
A Handbook of Artificial Intelligence in Drug Delivery explores the use of Artificial Intelligence (AI) in drug delivery strategies. The book covers pharmaceutical AI and drug discovery challenges, Artificial Intelligence tools for drug research, AI enabled intelligent drug delivery systems and next generation novel therapeutics, broad utility of AI for designing novel micro/nanosystems for drug delivery, AI driven personalized medicine and Gene therapy, 3D Organ printing and tissue engineering, Advanced nanosystems based on AI principles (nanorobots, nanomachines), opportunities and challenges using artificial intelligence in ADME/Tox in drug development, commercialization and regulatory perspectives, ethics in AI, and more.
This book will be useful to academic and industrial researchers interested in drug delivery, chemical biology, computational chemistry, medicinal chemistry and bioinformatics. The massive time and costs investments in drug research and development necessitate application of more innovative techniques and smart strategies.
1. An overview of Artificial intelligence in Drug development
2. General considerations on Artificial intelligence
3. Role of Artificial intelligence in quality profiling and optimization of drug products
4. AI application in the drug manufacturing for multivariate control
5. AI approaches for the development of drugs and delivery systems
6. Artificial neural network (ANN) in Drug delivery
7. Relevance of AI in Microbased Drug delivery system
8. Application of Artificial Intelligence driving Nano-based Drug Delivery System
9. AI in Microfabrication technology
10. Tracing the Nose-to-brain Nanoparticulate drug delivery using Bio /chemoinformatics tools
11. Applicability of machine learning in three-dimensionally (3D) printing dosage forms
12. Role of AI in ADME/Tox towards formulation optimization and delivery
13. Self-regulated Drug delivery Micro/ Nanodevice
14. Design and application of Nanorobots in Targeted drug delivery
15. Role of AI in Drug Product Designing, Development & Manufacturing
16. Impact of AI on drug delivery and pharmacokinetics: The present scenario and future prospects
17. Artificial Intelligence in Vaccine Development: Significance and Challenges Ahead
18. AI-enabled Qadrupole Stimuli-Responsive Targeted Polymeric Nano drug delivery for Cancer Therapy
19. Convergence of Artificial Intelligence and Nanotechnology in the Development of Novel Formulations for Cancer
20. Artificial Intelligence in Precision Medicine
21. Artificial Intelligence and Machine Learning in Clinical Trial Design & Application
22. Artificial Intelligence from regulatory perspective: Drug delivery and devices
| Erscheinungsjahr: | 2023 |
|---|---|
| Fachbereich: | Einzelne Wirtschaftszweige |
| Genre: | Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9780323899253 |
| ISBN-10: | 0323899250 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Redaktion: |
Philip, Anil K
Shahiwala, Aliasgar Rashid, Mamoon Faiyazuddin, Md |
| Hersteller: | Elsevier Science |
| Maße: | 238 x 189 x 31 mm |
| Von/Mit: | Anil K Philip (u. a.) |
| Erscheinungsdatum: | 29.03.2023 |
| Gewicht: | 1,296 kg |
1. An overview of Artificial intelligence in Drug development
2. General considerations on Artificial intelligence
3. Role of Artificial intelligence in quality profiling and optimization of drug products
4. AI application in the drug manufacturing for multivariate control
5. AI approaches for the development of drugs and delivery systems
6. Artificial neural network (ANN) in Drug delivery
7. Relevance of AI in Microbased Drug delivery system
8. Application of Artificial Intelligence driving Nano-based Drug Delivery System
9. AI in Microfabrication technology
10. Tracing the Nose-to-brain Nanoparticulate drug delivery using Bio /chemoinformatics tools
11. Applicability of machine learning in three-dimensionally (3D) printing dosage forms
12. Role of AI in ADME/Tox towards formulation optimization and delivery
13. Self-regulated Drug delivery Micro/ Nanodevice
14. Design and application of Nanorobots in Targeted drug delivery
15. Role of AI in Drug Product Designing, Development & Manufacturing
16. Impact of AI on drug delivery and pharmacokinetics: The present scenario and future prospects
17. Artificial Intelligence in Vaccine Development: Significance and Challenges Ahead
18. AI-enabled Qadrupole Stimuli-Responsive Targeted Polymeric Nano drug delivery for Cancer Therapy
19. Convergence of Artificial Intelligence and Nanotechnology in the Development of Novel Formulations for Cancer
20. Artificial Intelligence in Precision Medicine
21. Artificial Intelligence and Machine Learning in Clinical Trial Design & Application
22. Artificial Intelligence from regulatory perspective: Drug delivery and devices
| Erscheinungsjahr: | 2023 |
|---|---|
| Fachbereich: | Einzelne Wirtschaftszweige |
| Genre: | Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9780323899253 |
| ISBN-10: | 0323899250 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Redaktion: |
Philip, Anil K
Shahiwala, Aliasgar Rashid, Mamoon Faiyazuddin, Md |
| Hersteller: | Elsevier Science |
| Maße: | 238 x 189 x 31 mm |
| Von/Mit: | Anil K Philip (u. a.) |
| Erscheinungsdatum: | 29.03.2023 |
| Gewicht: | 1,296 kg |
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