Advances in industrial biopharmaceutical batch process monitoring: Machine-learning methods for small data problems-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Advances in industrial biopharmaceutical batch process monitoring: Machine-learning methods for small data problems

Published:2018-04-23 Issue:8 Volume:115 Page:1915-1924
ISSN:0006-3592
Container-title:Biotechnology and Bioengineering
language:en
Short-container-title:Biotechnology and Bioengineering

Author:

Tulsyan Aditya¹^ORCID,Garvin Christopher²,Ündey Cenk³

Affiliation:

1. Digital Integration and Predictive Technologies; Amgen, Inc., Cambridge Massachusetts

2. Digital Integration and Predictive Technologies; Amgen, Inc., West Greenwich Rhode Island

3. Digital Integration and Predictive Technologies; Amgen, Inc., Thousand Oaks California

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Reference15 articles.

1. On-line batch process monitoring using dynamic PCA and dynamic PLS models;Chen;Chemical Engineering Science,2002

2. Process analytical technology (PAT): Batch-to-batch reproducibility of fermentation processes by robust process operational design and control;Gnoth;Journal of Biotechnology,2007

3. In-situ microscopy: Online process monitoring of mammalian cell cultures;Joeris;Cytotechnology,2002

4. FDA 2011 process validation guidance: Process validation revisited;Katz;Journal of GXP Compliance,2012

5. 2017 biopharmaceutical trends-opportunities for the new year;Langer;Bioprocess Online.,2016

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-time multivariate statistical monitoring of biopharmaceutical processes with no prior product-specific history;Computers & Chemical Engineering;2024-10

2. Few-shot learning on batch process modeling with imbalanced data;Chemical Engineering Science;2024-03

3. Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities;Computers & Chemical Engineering;2024-03

4. On the use of machine learning to generate in-silico data for batch process monitoring under small-data scenarios;Computers & Chemical Engineering;2024-01

5. Advanced manufacturing of biopharmaceuticals;Artificial Intelligence in Manufacturing;2024

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