| Article ID: | iaor19921800 |
| Country: | United States |
| Volume: | 22 |
| Issue: | 2 |
| Start Page Number: | 101 |
| End Page Number: | 108 |
| Publication Date: | Mar 1992 |
| Journal: | Interfaces |
| Authors: | Ramani H.V., Patel M.R., Patel S.K. |
| Keywords: | decision: applications, artificial intelligence: expert systems |
The authors designed, developed, and implemented a computer-based expert system for Cadila Laboratories to aid pharmaceutical experts in drug preformulations. Drugs, such as tablets, contain many chemicals (called excipients) in addition to the main active drug. A preformulation study identifies compatible excipients and their relative proportions in the final formulation. The present expert system has saved about 35 percent of the total R and D time needed for preformulations. Its success is due to the interest of top management and the excellent support of the R and D staff. It has provided a competitive advantage to Cadila Laboratories over other firms in India.