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数字化和一次性使用——最终用户的观点.pdf

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1、Digitalization and Single-Use,an end users perspectiveC.MasyGSK July 11,2023Introduction How can AI&digitalization support use of Single Use in pharma processCase study of process improvement with input of materialCase study in the context of Single Use(SUT)Take awayAGENDACharlotte Masy,Christine De

2、 Herde,Youness Issaf,Patrick Seow,Marine Lepoutre,Etienne Michel,Amalia Trevisan,Carole Garnir are employees of the GSK group of companies.This work is sponsored by GlaxoSmithKline Biologicals SA.These timelines does not fit with pandemy acceleration neededAdvances and Challenges in Vaccine Developm

3、ent and Manufacture by Tony DAmore and Yan-ping Yang 2019 Bioprocessing International+immunological characterizationEVOLUTION OF VACCINES DEVELOPMENTAdvances and Challenges in Vaccine Development and Manufacture by Tony DAmore and Yan-ping Yang 2019 Bioprocessing InternationalIntroduction-What is Di

4、gitalization&Artificial Intelligence?What is Digitalization?Adaptation of a system,process,etc.to be operated with the use of computers and the internet 1 What is AI?Collection of multiple technologies that allow machines to detect,understand,act and learn either on their own or to augment human act

5、ivities.251 Oxford Languages website 2 Accenture Research website ImprovementModelDataIntroduction-How can AI&Digitalization support pharma process?6 There are several area in which AI can be a support:Discovery,Efficiency,Patient and Supply In this presentation:Focus on Discovery and efficiency of

6、processDISCOVERYEFFICIENCY of processSupport to PATIENTSUPPLY improvementAI supportHow can AI&Digitalization support pharma process?Discovery7Smart Cell Culture Systems:Integration of Sensors and Actuators into Microphysiological Systems by Mario M.Modena,Ketki Chawla,Patrick M.Misun,and Andreas Hie

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本文探讨了数字化和单次使用技术在制药工艺中的应用。文章首先介绍了数字化的概念,即通过计算机和互联网对系统或过程进行适应,以及人工智能,即多种技术集合,使机器能够自主或辅助人类活动。接着,文章讨论了AI如何支持药物发现和工艺效率,例如通过智能细胞培养系统和数字孪生技术。在供应链方面,AI能够个性化诊断、预测疫情爆发等,强调了单次使用技术在供应中的重要性。文中还详细描述了数字化在持续过程验证中的应用,如通过电子数据交换来自动收集供应商数据,以及利用光学字符识别技术从PDF文件中提取数据。最后,文章提出了数字化和AI在单次使用技术案例研究中的应用,包括与供应商的材料交换和自动化可提取性风险评估计算。总体而言,文章强调了数字化和AI在优化制药过程、提高效率以及确保单次使用技术供应的稳定性方面的重要性,并指出了数据可用性是限制数字化/AI应用的关键因素,未来将需要更多的过程整合。
"AI与数字化如何助力药企流程优化?" "一次性使用技术在疫苗开发中的应用案例" "数字化时代,药企如何应对数据可用性挑战?"
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