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Moritz von Stosch
Moritz von Stosch
Chief Innovation Officer @ DataHow
在 datahow.ch 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Assessment of recent process analytical technology (PAT) trends: a multiauthor review
LL Simon, H Pataki, G Marosi, F Meemken, K Hungerbühler, A Baiker, ...
Organic Process Research & Development 19 (1), 3-62, 2015
4322015
Hybrid semi-parametric modeling in process systems engineering: Past, present and future
M Von Stosch, R Oliveira, J Peres, SF de Azevedo
Computers & Chemical Engineering 60, 86-101, 2014
4262014
Selective extraction of copper, mercury, silver, and palladium ions from water using hydrophobic ionic liquids
N Papaiconomou, JM Lee, J Salminen, M Von Stosch, JM Prausnitz
Industrial & Engineering Chemistry Research 47 (15), 5080-5086, 2008
1942008
Bioprocessing in the digital age: the role of process models
H Narayanan, MF Luna, M von Stosch, MN Cruz Bournazou, G Polotti, ...
Biotechnology journal 15 (1), 1900172, 2020
1922020
Quality by control: Towards model predictive control of mammalian cell culture bioprocesses
W Sommeregger, B Sissolak, K Kandra, M von Stosch, M Mayer, ...
Biotechnology Journal 12 (7), 1600546, 2017
1502017
Modeling of the burst release from PLGA micro-and nanoparticles as function of physicochemical parameters and formulation characteristics
CR de Azevedo, M von Stosch, MS Costa, AM Ramos, MM Cardoso, ...
International journal of pharmaceutics 532 (1), 229-240, 2017
1022017
Hybrid modeling as a QbD/PAT tool in process development: an industrial E. coli case study
M von Stosch, JM Hamelink, R Oliveira
Bioprocess and biosystems engineering 39, 773-784, 2016
962016
Hybrid modeling for quality by design and PAT‐benefits and challenges of applications in biopharmaceutical industry
M von Stosch, S Davy, K Francois, V Galvanauskas, JM Hamelink, ...
Biotechnology journal 9 (6), 719-726, 2014
882014
Hybrid modeling in process industries
J Glassey, M Von Stosch
CRC Press, 2018
72*2018
Toward biotherapeutic product real-time quality monitoring
A Guerra, M von Stosch, J Glassey
Critical reviews in biotechnology 39 (3), 289-305, 2019
562019
A novel identification method for hybrid (N) PLS dynamical systems with application to bioprocesses
M von Stosch, R Oliveira, J Peres, SF De Azevedo
Expert Systems with Applications 38 (9), 10862-10874, 2011
462011
A bootstrap-aggregated hybrid semi-parametric modeling framework for bioprocess development
J Pinto, CR de Azevedo, R Oliveira, M von Stosch
Bioprocess and biosystems engineering 42, 1853-1865, 2019
452019
Intensified design of experiments for upstream bioreactors
M von Stosch, MJ Willis
Engineering in Life Sciences 17 (11), 1173-1184, 2017
432017
When is an in silico representation a digital twin? A biopharmaceutical industry approach to the digital twin concept
RMC Portela, C Varsakelis, A Richelle, N Giannelos, J Pence, S Dessoy, ...
Digital Twins: Tools and Concepts for Smart Biomanufacturing, 35-55, 2021
412021
Comparison of modeling methods for DoE‐based holistic upstream process characterization
B Bayer, M von Stosch, G Striedner, M Duerkop
Biotechnology Journal 15 (5), 1900551, 2020
382020
Hybrid modeling—a key enabler towards realizing digital twins in biopharma?
M Sokolov, M von Stosch, H Narayanan, F Feidl, A Butté
Current Opinion in Chemical Engineering 34, 100715, 2021
362021
Simultaneous parameter identification and discrimination of the nonparametric structure of hybrid semi-parametric models
MJ Willis, M von Stosch
Computers & Chemical Engineering 104, 366-376, 2017
332017
Hybrid modeling framework for process analytical technology: Application to Bordetella pertussis cultures
M Von Stosch, R Oliveria, J Peres, SF de Azevedo
Biotechnology progress 28 (1), 284-291, 2012
332012
Knowledge transfer across cell lines using hybrid Gaussian process models with entity embedding vectors
C Hutter, M von Stosch, MN Cruz Bournazou, A Butté
Biotechnology and Bioengineering 118 (11), 4389-4401, 2021
322021
Toward intensifying design of experiments in upstream bioprocess development: An industrial Escherichia coli feasibility study
M von Stosch, JM Hamelink, R Oliveira
Biotechnology Progress 32 (5), 1343-1352, 2016
292016
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