Harini Narayanan
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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
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
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, 0
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
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
Integration and digitalization in the manufacturing of therapeutic proteins
H Narayanan, M Sponchioni, M Morbidelli
Chemical Engineering Science 248, 117159, 2022
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
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
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
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
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
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
Functional-hybrid modeling through automated adaptive symbolic regression for interpretable mathematical expressions
H Narayanan, MNC Bournazou, GG Gosálbez, A Butté
Chemical Engineering Journal 430, 133032, 2022
Monitoring parallel robotic cultivations with online multivariate analysis
S Hans, C Ulmer, H Narayanan, T Brautaset, N Krausch, P Neubauer, ...
Processes 8 (5), 582, 2020
Hybrid modeling for biopharmaceutical processes: advantages, opportunities, and implementation
H Narayanan, M von Stosch, F Feidl, M Sokolov, M Morbidelli, A Butté
Frontiers in Chemical Engineering 5, 1157889, 2023
Improving extracellular vesicles production through a Bayesian optimization-based experimental design
J Bader, H Narayanan, P Arosio, JC Leroux
European Journal of Pharmaceutics and Biopharmaceutics 182, 103-114, 2023
Hybrid Gaussian Process Models for continuous time series in bolus fed-batch cultures
MN Cruz-Bournazou, H Narayanan, A Fagnani, A Butté
IFAC-PapersOnLine 55 (7), 204-209, 2022
Comparison of strategies for iterative model-based upstream bioprocess development with single and parallel reactor set-ups
R De Luca, G Costa, H Narayanan, C Wirnsperger, MNC Bournazou, ...
Biochemical Engineering Journal 191, 108813, 2023
Consistent value creation from bioprocess data with customized algorithms: Opportunities beyond multivariate analysis
H Narayanan, M von Stosch, MF Luna, MN Cruz Bournazou, A Butté, ...
Process Control, Intensification, and Digitalisation in Continuous …, 2022
Process modeling in the CMC of vaccines: are we doing it right?
H Narayanan, C Love
Vaccine Insights 1 (5), 299–314, 2022
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