dc.contributor.advisor | Sharmin, Shahana | |
dc.contributor.author | Nowrin, Tasfia | |
dc.date.accessioned | 2022-04-04T05:31:44Z | |
dc.date.available | 2022-04-04T05:31:44Z | |
dc.date.copyright | 2021 | |
dc.date.issued | 2021-07 | |
dc.identifier.other | ID 17346012 | |
dc.identifier.uri | http://hdl.handle.net/10361/16514 | |
dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2021. | en_US |
dc.description | Cataloged from PDF version of thesis report. | |
dc.description | Includes bibliographical references (pages 35-40). | |
dc.description.abstract | Pharmaceutical sector is undoubtedly a big platform for utilizing Artificial Intelligence (AI). The study was conducted to discuss the varieties and stages of pharmaceutical production and other relevant procedures. Starting from the very beginning step called drug molecule discovery to designing, manufacturing, formulating, artificial intelligence has its different roles. The study can be seen as a synopsis for overall application in the pharmaceutical sector. It also well-defines the tools and their roles in different stages in the industry. The study answers that how artificial intelligence performs the tasks along with greater efficiency. Other related studies are also mentioned here to clarify concepts. Artificial Neural Network (ANN) is mentioned here as most recognized part of AI. Digital science reduces labor cost, time and in contrast increases the yield with greater efficiency. Although there might be some limitations with this intelligence, but they can be rectified. The study exhibits the significance of machine learning in order to enhance the outcome of artificial intelligence. In a nutshell, the study provides a general overview of application of AI in crucial steps of pharmaceutical industry technology. | en_US |
dc.description.statementofresponsibility | Tasfia Nowrin | |
dc.format.extent | 40 pages | |
dc.language.iso | en | en_US |
dc.publisher | Brac University | en_US |
dc.rights | Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
dc.subject | Artificial intelligence (AI) | en_US |
dc.subject | Technology | en_US |
dc.subject | Computational | en_US |
dc.subject | Drug | en_US |
dc.subject | Pharmaceutical | en_US |
dc.subject | Artificial Neural Network (ANN) | en_US |
dc.subject.lcsh | Artificial intelligence -- Medical applications. | |
dc.subject.lcsh | Drug development -- Data processing. | |
dc.title | A systematic overview of the impact of artificial intelligence in pharmaceutical science | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Pharmacy, Brac University | |
dc.description.degree | B. Pharmacy | |