The Future of Artificial Intelligence in Pharmaceutical Product Formulation
| Autor: | Ritesh Kumar Tiwari, Shashi Verma, Lalit Singh, Vijay Sharma |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
03 medical and health sciences
0302 clinical medicine Computer science Product (mathematics) Biomedical Engineering Pharmaceutical Science 030212 general & internal medicine 02 engineering and technology 021001 nanoscience & nanotechnology 0210 nano-technology Pharmacology Toxicology and Pharmaceutics (miscellaneous) Manufacturing engineering |
| Zdroj: | Drug Delivery Letters. 9:277-285 |
| ISSN: | 2210-3031 |
| DOI: | 10.2174/2210303109666190621144400 |
| Popis: | Background: Conventional approach of formulating a new dosage form is a comprehensive task and uses various sources like man, money, time and experimental efforts. The use of AI can help to obtain optimized pharmaceutical formulation with desired (best) attributes. AI minimizes the use of resources and increases the understanding of impact, of independent variable over desired dependent responses/variables. Objective: Thus, the aim of present work is to explore the use of Artificial intelligence in designing pharmaceutical products as well as the manufacturing process to get the pharmaceutical product of desired attributes with ease. The review is presenting various aspects of Artificial intelligence like Quality by Design (QbD) & Design of Experiment (DoE) to confirm the quality profile of drug product, reduce interactions among the input variables for the optimization, modelization and various simulation tools used in pharmaceutical manufacturing (scale up and production). Conclusion: Hence, the use of QbD approach in Artificial intelligence is not only useful in understanding the products or process but also helps in building an excellent and economical pharmaceutical product. |
| Databáze: | OpenAIRE |
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