| 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 | 192 | 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 | 111 | 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 | 95 | |
| 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 | 62 | 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 | 50 | 2021 |
| Integration and digitalization in the manufacturing of therapeutic proteins H Narayanan, M Sponchioni, M Morbidelli Chemical Engineering Science 248, 117159, 2022 | 44 | 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 | 38 | 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 | 36 | 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 | 34 | 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 | 32 | 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 | 29 | 2018 |
| 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 | 19 | 2022 |
| 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 | 18 | 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 | 16 | 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 | 11 | 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 | 7 | 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 | 7 | 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 | 2 | 2023 |
| Process modeling in the CMC of vaccines: are we doing it right? H Narayanan, C Love Vaccine Insights 1 (5), 299–314, 2022 | 2 | 2022 |
| 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 | 2 | 2022 |
