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dc.contributor.advisorSharmin, Shahana
dc.contributor.authorNowrin, Tasfia
dc.date.accessioned2022-04-04T05:31:44Z
dc.date.available2022-04-04T05:31:44Z
dc.date.copyright2021
dc.date.issued2021-07
dc.identifier.otherID 17346012
dc.identifier.urihttp://hdl.handle.net/10361/16514
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2021.en_US
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (pages 35-40).
dc.description.abstractPharmaceutical 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.statementofresponsibilityTasfia Nowrin
dc.format.extent40 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac 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.subjectArtificial intelligence (AI)en_US
dc.subjectTechnologyen_US
dc.subjectComputationalen_US
dc.subjectDrugen_US
dc.subjectPharmaceuticalen_US
dc.subjectArtificial Neural Network (ANN)en_US
dc.subject.lcshArtificial intelligence -- Medical applications.
dc.subject.lcshDrug development -- Data processing.
dc.titleA systematic overview of the impact of artificial intelligence in pharmaceutical scienceen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Pharmacy, Brac University
dc.description.degreeB. Pharmacy


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