von Stosch M - Search Results

1

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

Narayanan H, Luna MF, von Stosch M, Cruz Bournazou MN, Polotti G, Morbidelli M, Butté A, Sokolov M. Narayanan H, et al. Among authors: von stosch m. Biotechnol J. 2020 Jan;15(1):e1900172. doi: 10.1002/biot.201900172. Epub 2019 Sep 23. Biotechnol J. 2020. PMID: 31486583 Review.

2

Knowledge transfer across cell lines using hybrid Gaussian process models with entity embedding vectors.

Hutter C, von Stosch M, Cruz Bournazou MN, Butté A. Hutter C, et al. Among authors: von stosch m. Biotechnol Bioeng. 2021 Nov;118(11):4389-4401. doi: 10.1002/bit.27907. Epub 2021 Aug 12. Biotechnol Bioeng. 2021. PMID: 34383309

3

Towards a widespread adoption of metabolic modeling tools in biopharmaceutical industry: a process systems biology engineering perspective.

Richelle A, David B, Demaegd D, Dewerchin M, Kinet R, Morreale A, Portela R, Zune Q, von Stosch M. Richelle A, et al. Among authors: von stosch m. NPJ Syst Biol Appl. 2020 Mar 13;6(1):6. doi: 10.1038/s41540-020-0127-y. NPJ Syst Biol Appl. 2020. PMID: 32170148 Free PMC article. Review.

4

When Is an In Silico Representation a Digital Twin? A Biopharmaceutical Industry Approach to the Digital Twin Concept.

Portela RMC, Varsakelis C, Richelle A, Giannelos N, Pence J, Dessoy S, von Stosch M. Portela RMC, et al. Among authors: von stosch m. Adv Biochem Eng Biotechnol. 2021;176:35-55. doi: 10.1007/10_2020_138. Adv Biochem Eng Biotechnol. 2021. PMID: 32797270

5

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

von Stosch M, Davy S, Francois K, Galvanauskas V, Hamelink JM, Luebbert A, Mayer M, Oliveira R, O'Kennedy R, Rice P, Glassey J. von Stosch M, et al. Biotechnol J. 2014 Jun;9(6):719-26. doi: 10.1002/biot.201300385. Epub 2014 May 8. Biotechnol J. 2014. PMID: 24806479

6

Towards in silico Process Modeling for Vaccines.

Cardillo AG, Castellanos MM, Desailly B, Dessoy S, Mariti M, Portela RMC, Scutella B, von Stosch M, Tomba E, Varsakelis C. Cardillo AG, et al. Among authors: von stosch m. Trends Biotechnol. 2021 Nov;39(11):1120-1130. doi: 10.1016/j.tibtech.2021.02.004. Epub 2021 Mar 8. Trends Biotechnol. 2021. PMID: 33707043 Review.

7

Quality by control: Towards model predictive control of mammalian cell culture bioprocesses.

Sommeregger W, Sissolak B, Kandra K, von Stosch M, Mayer M, Striedner G. Sommeregger W, et al. Among authors: von stosch m. Biotechnol J. 2017 Jul;12(7). doi: 10.1002/biot.201600546. Epub 2017 Mar 31. Biotechnol J. 2017. PMID: 28371494 Review.

8

Working within the Design Space: Do Our Static Process Characterization Methods Suffice?

von Stosch M, Schenkendorf R, Geldhof G, Varsakelis C, Mariti M, Dessoy S, Vandercammen A, Pysik A, Sanders M. von Stosch M, et al. Pharmaceutics. 2020 Jun 17;12(6):562. doi: 10.3390/pharmaceutics12060562. Pharmaceutics. 2020. PMID: 32560435 Free PMC article.

9

Toward biotherapeutic product real-time quality monitoring.

Guerra A, von Stosch M, Glassey J. Guerra A, et al. Among authors: von stosch m. Crit Rev Biotechnol. 2019 May;39(3):289-305. doi: 10.1080/07388551.2018.1524362. Epub 2019 Feb 6. Crit Rev Biotechnol. 2019. PMID: 30724608 Review.

10

Exploiting mAb structure characteristics for a directed QbD implementation in early process development.

Karlberg M, von Stosch M, Glassey J. Karlberg M, et al. Among authors: von stosch m. Crit Rev Biotechnol. 2018 Sep;38(6):957-970. doi: 10.1080/07388551.2017.1421899. Epub 2018 Mar 7. Crit Rev Biotechnol. 2018. PMID: 29514519 Review.

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