Digital Twin Implementation in the Pharmaceutical Industry

Author:

Kirby Matthew1,Asan Onur1

Affiliation:

1. Stevens Institute of Technology

Abstract

Digital twins have reached the pharmaceutical industry through the recent development of Pharma 4.0, and they have the potential to greatly improve the drug development process through their modelling capabilities. The objective of this paper is to determine where digital twins have been implemented thus far and determine any future benefits that have been identified through this research. A scoping review was conducted on PubMed.com using a Boolean string of Mesh terms. Once the papers were identified, 6 mapping questions were answered to extract details from the selected publications and determine the trends and areas where digital twin implementation has occurred. A total of 9 publications were selected after multiple screening rounds. Most of the papers focused on the creation of models that enhance the manufacturing process. In the future, the ability to enhance clinical trials and the drug target discovery process was identified. Overall, digital twins can enhance a range of processes and phases in the drug development process.

Publisher

SAGE Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3