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

Machine Learning for Biologics: Opportunities for Protein Engineering, Developability, and Formulation

(2021) Harini Narayanan et al.   TRENDS IN PHARMACOLOGICAL SCIENCES

Hybrid Models for the simulation and prediction of chromatographic processes for protein capture

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Monitoring Parallel Robotic Cultivations with Online Multivariate Analysis

(2020) Sebastian Hans et al.   Processes

Mechanistic Modeling of Preparative Column Chromatography for Biotherapeutics

(2020) Vijesh Kumar et al.   Annual Review of Chemical and Biomolecular Engineering

Relations between kinetic parameters of different column models for liquid chromatography applying core-shell particles

(2019) Shamsul Qamar et al.   JOURNAL OF LIQUID CHROMATOGRAPHY & RELATED TECHNOLOGIES

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

(2019) Harini Narayanan et al.   BIOTECHNOLOGY PROGRESS

An overview of mechanistic modeling of liquid chromatography

(2019) Lalita K. Shekhawat et al.   PREPARATIVE BIOCHEMISTRY & BIOTECHNOLOGY

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

(2019) Harini Narayanan et al.   BIOTECHNOLOGY AND BIOENGINEERING

Combining Mechanistic Modeling and Raman Spectroscopy for Monitoring Antibody Chromatographic Purification

(2019) Feidl et al.   Processes

Chromatography Analysis and Design Toolkit (CADET)

(2018) Samuel Leweke et al.   COMPUTERS & CHEMICAL ENGINEERING

Model-assisted process characterization and validation for a continuous two-column protein A capture process

(2018) Daniel Baur et al.   BIOTECHNOLOGY AND BIOENGINEERING

Hybrid models for chemical reaction networks: Multiscale theory and application to gene regulatory systems

(2017) Stefanie Winkelmann et al.   JOURNAL OF CHEMICAL PHYSICS

Estimation of adsorption isotherm and mass transfer parameters in protein chromatography using artificial neural networks

(2017) Gang Wang et al.   JOURNAL OF CHROMATOGRAPHY A

Model based adaptive control of a continuous capture process for monoclonal antibodies production

(2016) Fabian Steinebach et al.   JOURNAL OF CHROMATOGRAPHY A

Systematic interpolation method predicts protein chromatographic elution from batch isotherm data without a detailed mechanistic isotherm model

(2015) Arch Creasy et al.   Biotechnology Journal

Fingerprint detection and process prediction by multivariate analysis of fed-batch monoclonal antibody cell culture data

(2015) Michael Sokolov et al.   BIOTECHNOLOGY PROGRESS

Development of Gradient Retention Model in Ion Chromatography. Part III: Fuzzy Logic QSRR Approach

(2015) Šime Ukić et al.   CHROMATOGRAPHIA

Systematic interpolation method predicts protein chromatographic elution from batch isotherm data without a detailed mechanistic isotherm model

(2015) Arch Creasy et al.   Biotechnology Journal

Process model comparison and transferability across bioreactor scales and modes of operation for a mammalian cell bioprocess

(2012) Stephen Craven et al.   BIOTECHNOLOGY PROGRESS

Design of high productivity antibody capture by protein A chromatography using an integrated experimental and modeling approach

(2012) Candy K.S. Ng et al.   JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES

Hybrid modeling framework for process analytical technology: Application to Bordetella pertussis cultures

(2011) M. von Stosch et al.   BIOTECHNOLOGY PROGRESS

Modeling kinetics of a large-scale fed-batch CHO cell culture by Markov chain Monte Carlo method

(2009) Zizhuo Xing et al.   BIOTECHNOLOGY PROGRESS

A Hybrid Model Framework for the Optimization of Preparative Chromatographic Processes

(2004) Deepak Nagrath et al.   BIOTECHNOLOGY PROGRESS