Welcome to the upgraded BRAC University Institutional Repository. We are currently organizing collections after a recent system upgrade. Homepage category counters may temporarily show lower numbers while syncing, but over 27,000 repository items remain safe and accessible. Please use the search bar to find theses, scholarly outputs, and institutional documents.

A systematic overview of the impact of artificial intelligence in pharmaceutical science

Loading...
Thumbnail Image

Publisher

BRAC University

Citation

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.

Description

Cataloged from PDF version of thesis report.
Includes bibliographical references (pages 35-40).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2021.

Publisher Link

Type

Thesis