Michael Sokolov

发表

Accelerated Bioprocess Development of Endopolygalacturonase-Production with Saccharomyces cerevisiae Using Multivariate Prediction in a 48 Mini-Bioreactor Automated Platform

Peter Neubauer, Annina Sawatzki, Sebastian Hans, 2018, Bioengineering.

Robust factor selection in early cell culture process development for the production of a biosimilar monoclonal antibody

Massimo Morbidelli, Jean-Marc Bielser, Dominik Rothenhäusler, 2017, Biotechnology progress.

Monitoring Parallel Robotic Cultivations with Online Multivariate Analysis

Peter Neubauer, Sebastian Hans, Harini Narayanan, 2020 .

Cell culture process metabolomics together with multivariate data analysis tools opens new routes for bioprocess development and glycosylation prediction

Massimo Morbidelli, Hervé Broly, Michael Sokolov, 2020, Biotechnology progress.

Bioprocessing in the Digital Age: The Role of Process Models

Massimo Morbidelli, Martin F. Luna, Harini Narayanan, 2019, Biotechnology journal.

A new generation of predictive models: The added value of hybrid models for manufacturing processes of therapeutic proteins

Massimo Morbidelli, Harini Narayanan, Michael Sokolov, 2019, Biotechnology and bioengineering.

Hybrid-EKF: Hybrid Model coupled with Extended Kalman Filter for real-time monitoring and control of mammalian cell culture.

Gonzalo Guillén-Gosálbez, Massimo Morbidelli, Martin F. Luna, 2020, Biotechnology and bioengineering.

Sequential Multivariate Cell Culture Modeling at Multiple Scales Supports Systematic Shaping of a Monoclonal Antibody Toward a Quality Target.

Massimo Morbidelli, Hervé Broly, Michael Sokolov, 2018, Biotechnology journal.

Parallel experimental design and multivariate analysis provides efficient screening of cell culture media supplements to improve biosimilar product quality

Hervé Broly, Michael Sokolov, David Brühlmann, 2017, Biotechnology and bioengineering.

Data- and Knowledge-driven Computational Tools for the Process Development of Biopharmaceuticals

Michael Sokolov, M. Sokolov, 2017 .

Hybrid Models Based on Machine Learning and an Increasing Degree of Process Knowledge: Application to Capture Chromatographic Step

Massimo Morbidelli, Martin F. Luna, Harini Narayanan, 2021, Industrial & Engineering Chemistry Research.

Modeling of Continuous PHA Production by a Hybrid Approach Based on First Principles and Machine Learning

Manfred Zinn, Martin F. Luna, Michael Sokolov, 2021, Processes.

A new flow cell and chemometric protocol for implementing in‐line Raman spectroscopy in chromatography

Massimo Morbidelli, Hervé Broly, Michael Sokolov, 2019, Biotechnology progress.

Decision Tree‐PLS (DT‐PLS) algorithm for the development of process: Specific local prediction models

Massimo Morbidelli, Harini Narayanan, Michael Sokolov, 2019, Biotechnology progress.

Big data in biopharmaceutical process development vice or virtue

Massimo Morbidelli, Michael Sokolov, Fabian Feidl, 2018 .