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Michael Sokolov
Michael Sokolov
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Year
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
1792020
Machine learning for biologics: opportunities for protein engineering, developability, and formulation
H Narayanan, F Dingfelder, A Butté, N Lorenzen, M Sokolov, P Arosio
Trends in pharmacological sciences 42 (3), 151-165, 2021
1082021
A new generation of predictive models: The added value of hybrid models for manufacturing processes of therapeutic proteins
H Narayanan, M Sokolov, M Morbidelli, A Butté
Biotechnology and Bioengineering 116 (10), 2540-2549, 2019
892019
Enhanced process understanding and multivariate prediction of the relationship between cell culture process and monoclonal antibody quality
M Sokolov, J Ritscher, N MacKinnon, J Souquet, H Broly, M Morbidelli, ...
Biotechnology progress 33 (5), 1368-1380, 2017
652017
Hybrid‐EKF: Hybrid model coupled with extended Kalman filter for real‐time monitoring and control of mammalian cell culture
H Narayanan, L Behle, MF Luna, M Sokolov, G Guillén‐Gosálbez, ...
Biotechnology and Bioengineering 117 (9), 2703-2714, 2020
592020
Sequential multivariate cell culture modeling at multiple scales supports systematic shaping of a monoclonal antibody toward a quality target
M Sokolov, M Morbidelli, A Butté, J Souquet, H Broly
Biotechnology journal 13 (4), 1700461, 2018
492018
Hybrid Models for the simulation and prediction of chromatographic processes for protein capture
H Narayanan, T Seidler, MF Luna, M Sokolov, M Morbidelli, A Butté
Journal of Chromatography A 1650, 462248, 2021
472021
A new flow cell and chemometric protocol for implementing in‐line Raman spectroscopy in chromatography
F Feidl, S Garbellini, S Vogg, M Sokolov, J Souquet, H Broly, A Butté, ...
Biotechnology progress 35 (5), e2847, 2019
422019
Parallel experimental design and multivariate analysis provides efficient screening of cell culture media supplements to improve biosimilar product quality
D Brühlmann, M Sokolov, A Butté, M Sauer, J Hemberger, J Souquet, ...
Biotechnology and bioengineering 114 (7), 1448-1458, 2017
412017
Robust factor selection in early cell culture process development for the production of a biosimilar monoclonal antibody
M Sokolov, J Ritscher, N MacKinnon, JM Bielser, D Brühlmann, ...
Biotechnology progress 33 (1), 181-191, 2017
372017
Fingerprint detection and process prediction by multivariate analysis of fed‐batch monoclonal antibody cell culture data
M Sokolov, M Soos, B Neunstoecklin, M Morbidelli, A Butté, R Leardi, ...
Biotechnology progress 31 (6), 1633-1644, 2015
362015
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
322021
Design of biopharmaceutical formulations accelerated by machine learning
H Narayanan, F Dingfelder, I Condado Morales, B Patel, KE Heding, ...
Molecular Pharmaceutics 18 (10), 3843-3853, 2021
322021
Hybrid models based on machine learning and an increasing degree of process knowledge: Application to capture chromatographic step
H Narayanan, M Luna, M Sokolov, P Arosio, A Butté, M Morbidelli
Industrial & Engineering Chemistry Research 60 (29), 10466-10478, 2021
312021
Cell culture process metabolomics together with multivariate data analysis tools opens new routes for bioprocess development and glycosylation prediction
P Zürcher, M Sokolov, D Brühlmann, R Ducommun, M Stettler, J Souquet, ...
Biotechnology progress 36 (5), e3012, 2020
302020
Decision Tree‐PLS (DT‐PLS) algorithm for the development of process: Specific local prediction models
H Narayanan, M Sokolov, A Butté, M Morbidelli
Biotechnology progress 35 (4), e2818, 2019
302019
Accelerated Bioprocess Development of Endopolygalacturonase-Production with Saccharomyces cerevisiae Using Multivariate Prediction in a 48 Mini-Bioreactor …
A Sawatzki, S Hans, H Narayanan, B Haby, N Krausch, M Sokolov, ...
Bioengineering 5 (4), 101, 2018
262018
Decision making and risk management in biopharmaceutical engineering—opportunities in the age of covid-19 and digitalization
M Sokolov
Industrial & Engineering Chemistry Research 59 (40), 17587-17592, 2020
212020
Hybrid models based on machine learning and an increasing degree of process knowledge: application to cell culture processes
H Narayanan, M Luna, M Sokolov, A Butté, M Morbidelli
Industrial & Engineering Chemistry Research 61 (25), 8658-8672, 2022
162022
Modeling of continuous PHA production by a hybrid approach based on first principles and machine learning
MF Luna, AM Ochsner, V Amstutz, D von Blarer, M Sokolov, P Arosio, ...
Processes 9 (9), 1560, 2021
152021
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