Hybrid Models Based on Machine Learning and an Increasing Degree of Process Knowledge: Application to Cell Culture Processes-Reference-Cited by-同舟云学术

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Hybrid Models Based on Machine Learning and an Increasing Degree of Process Knowledge: Application to Cell Culture Processes

Published:2022-06-16 Issue:25 Volume:61 Page:8658-8672
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Narayanan Harini¹^ORCID,Luna Martin¹,Sokolov Michael²^ORCID,Butté Alessandro²,Morbidelli Massimo²³

Affiliation:

1. Institute of Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, 8093 Zurich, Switzerland

2. DataHow AG, Zürichstrasse 137, 8600 Dübendorf, Switzerland

3. Dipartimento di Chimica, Materiali e Ingegneria Chimica, Giulio Natta, Politecnico di Milano, 20131 Milano, Italy

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.1c04507

Reference68 articles.

1. Bioprocessing in the Digital Age: The Role of Process Models

2. Hybrid modeling — a key enabler towards realizing digital twins in biopharma?

3. Integration and digitalization in the manufacturing of therapeutic proteins

4. Decision Making and Risk Management in Biopharmaceutical Engineering—Opportunities in the Age of Covid-19 and Digitalization

5. Hybrid modeling for quality by design and PAT-benefits and challenges of applications in biopharmaceutical industry

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1. Hybrid Modeling for On-Line Fermentation Optimization and Scale-Up: A Review;Processes;2024-08-03

2. A roadmap for model-based bioprocess development;Biotechnology Advances;2024-07

3. Multivariate data analysis on multisensor measurement for inline process monitoring of adenovirus production in HEK293 cells;Biotechnology and Bioengineering;2024-04-12

4. Hybrid Modeling of Methanol to Olefin Reaction Kinetics Based on the Artificial Neural Network;Industrial & Engineering Chemistry Research;2024-03-13

5. An innovative hybrid modeling approach for simultaneous prediction of cell culture process dynamics and product quality;Biotechnology Journal;2024-03

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