A Handbook of Artificial Intelligence in Drug Delivery

<p>1. An overview of Artificial intelligence in Drug development</p> <p>2. General considerations on Artificial intelligence</p> <p>3. Role of Artificial intelligence in quality profiling and optimization of drug products</p> <p>4. AI application in the drug manufacturing for multivariate control</p> <p>5. AI approaches for the development of drugs and delivery systems</p> <p>6. Artificial neural network (ANN) in Drug delivery</p> <p>7. Relevance of AI in Microbased Drug delivery system</p> <p>8. Application of Artificial Intelligence driving Nano-based Drug Delivery System</p> <p>9. AI in Microfabrication technology</p> <p>10. Tracing the Nose-to-brain Nanoparticulate drug delivery using Bio /chemoinformatics tools</p> <p>11. Applicability of machine learning in three-dimensionally (3D) printing dosage forms</p> <p>12. Role of AI in ADME/Tox towards formulation optimization and delivery</p> <p>13. Self-regulated Drug delivery Micro/ Nanodevice</p> <p>14. Design and application of Nanorobots in Targeted drug delivery</p> <p>15. Role of AI in Drug Product Designing, Development & Manufacturing</p> <p>16. Impact of AI on drug delivery and pharmacokinetics: The present scenario and future prospects</p> <p>17. Artificial Intelligence in Vaccine Development: Significance and Challenges Ahead</p> <p>18. AI-enabled Qadrupole Stimuli-Responsive Targeted Polymeric Nano drug delivery for Cancer Therapy</p> <p>19. Convergence of Artificial Intelligence and Nanotechnology in the Development of Novel Formulations for Cancer</p> <p>20. Artificial Intelligence in Precision Medicine</p> <p>21. Artificial Intelligence and Machine Learning in Clinical Trial Design & Application</p> <p>22. Artificial Intelligence from regulatory perspective: Drug delivery and devices</p>