A new generation of predictive models: The added value of hybrid models for manufacturing processes of therapeutic proteins-Reference-Cited by-同舟云学术

A new generation of predictive models: The added value of hybrid models for manufacturing processes of therapeutic proteins

Published:2019-07-21 Issue:10 Volume:116 Page:2540-2549
ISSN:0006-3592
Container-title:Biotechnology and Bioengineering
language:en
Short-container-title:Biotechnology and Bioengineering

Author:

Narayanan Harini¹,Sokolov Michael¹²,Morbidelli Massimo¹²^ORCID,Butté Alessandro¹²

Affiliation:

1. Department of Chemistry and Applied Biosciences, Institute of Chemical and BioengineeringETH Zurich Zurich Switzerland

2. DataHow AG Zurich Switzerland

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bit.27097

Reference38 articles.

1. An efficient model development strategy for bioprocesses based on neural networks in macroscopic balances

2. Systematic interpolation method predicts protein chromatographic elution from batch isotherm data without a detailed mechanistic isotherm model

3. Food and Drug Administration (FDA). (2004September).Guidance for industry PAT: A framework for innovative pharmaceutical development. Manufacturing and Quality Assurance. FDA Official Document (pp. 16). Retrieved fromhttps://www.fda.gov/CDER/guidance/6419fnl.pdf

4. Hybrid modelling of biochemical processes: A comparison with the conventional approach

5. Enabling network inference methods to handle missing data and outliers

Cited by 91 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. The state of technological advancement to address challenges in the manufacture of rAAV gene therapies;Biotechnology Advances;2024-11

2. Self-driving development of perfusion processes for monoclonal antibody production;2024-09-06

3. A neural ordinary differential equation model for predicting the growth of Chinese Hamster Ovary cell in a bioreactor system;Biotechnology and Bioprocess Engineering;2024-09-01

4. Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations;Computers & Chemical Engineering;2024-08

5. Novel calibration design improves knowledge transfer across products for the characterization of pharmaceutical bioprocesses;Biotechnology Journal;2024-07