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WJPR Citation
|
| All | Since 2020 | |
| Citation | 8502 | 4519 |
| h-index | 30 | 23 |
| i10-index | 227 | 96 |
ROLE OF ARTIFICIAL INTELLIGENCE IN IMPROVING LIQUID DOSAGE FORMULATION AND DEVELOPMENT
Manikandan A.*, Sethupathi S., Siva S., Jeevith Kumar V., Suganya K., Dr. Sathish A.
Abstract In formulation development, formulation tactics are essential, and conventional trial-and-error methods are ineffective. In line with Industry 5.0 principles, this publication investigates how Artificial Intelligence (AI) might improve medicine formulation. AI facilitates data-driven decision-making, which enhances workflow efficiency, productivity, process monitoring, human-centric automation, and product quality. Solvent selection, compatibility with excipients, crystallinity, salt formation, permeability, and stability are important developmental design elements. While AI and Process Analytical Technology (PAT) are used together, they speed up decision-making and guarantee consistency while producing different liquid dosage forms. In order to improve the development of liquid dosage formulations, the review highlights research gaps, difficulties, and future directions in addition to identifying current applications of AI in manufacturing. Keywords: Artificial intelligence, Fluid flow, Manufacturing, Pharma 5.0, Process analytical technology. [Full Text Article] [Download Certificate] |
