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Toward in silico CMC: An industrial collaborative approach to model‐based process development
Author(s) -
Roush David,
Asthagiri Dilip,
Babi Deenesh K.,
Benner Steve,
Bilodeau Camille,
Carta Giorgio,
Ernst Philipp,
Fedesco Mark,
Fitzgibbon Sean,
Flamm Matthew,
Griesbach Jan,
Grosskopf Tobias,
Hansen Ernst B.,
Hahn Tobias,
Hunt Stephen,
Insaidoo Francis,
Lenhoff Abraham,
Lin Jasper,
Marke Henrik,
Marques Bruno,
Papadakis Emmanouil,
Schlegel Fabrice,
Staby Arne,
Stenvang Marcel,
Sun Larry,
Tessier Peter M.,
Todd Robert,
Lieres Eric,
Welsh John,
Willson Richard,
Wang Gang,
Wucherpfennig Thomas,
Zavalov Oleksandr
Publication year - 2020
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.27520
Subject(s) - bioprocess , process (computing) , process modeling , computer science , resource (disambiguation) , management science , systems engineering , biochemical engineering , scale (ratio) , engineering , process management , work in process , operations management , geography , computer network , chemical engineering , operating system , cartography
The Third Modeling Workshop focusing on bioprocess modeling was held in Kenilworth, NJ in May 2019. A summary of these Workshop proceedings is captured in this manuscript. Modeling is an active area of research within the biotechnology community, and there is a critical need to assess the current state and opportunities for continued investment to realize the full potential of models, including resource and time savings. Beyond individual presentations and topics of novel interest, a substantial portion of the Workshop was devoted toward group discussions of current states and future directions in modeling fields. All scales of modeling, from biophysical models at the molecular level and up through large scale facility and plant modeling, were considered in these discussions and are summarized in the manuscript. Model life cycle management from model development to implementation and sustainment are also considered for different stages of clinical development and commercial production. The manuscript provides a comprehensive overview of bioprocess modeling while suggesting an ideal future state with standardized approaches aligned across the industry.