A decade in review: use of data analytics within the biopharmaceutical sector

Advanced control strategies for bioprocess chromatography: Challenges and opportunities for intensified processes and next generation products

(2021) Alexander Armstrong et al.   JOURNAL OF CHROMATOGRAPHY A

Machine learning for biochemical engineering: A review

(2021) Max Mowbray et al.   BIOCHEMICAL ENGINEERING JOURNAL

A roadmap to AI-driven in silico process development: bioprocessing 4.0 in practice

(2021) Moritz von Stosch et al.   Current Opinion in Chemical Engineering

On Interpretability of Artificial Neural Networks: A Survey

(2021) Feng-Lei Fan et al.   IEEE Transactions on Radiation and Plasma Medical Sciences

Single-cell dispensing and ‘real-time’ cell classification using convolutional neural networks for higher efficiency in single-cell cloning

(2020) Julian Riba et al.   Scientific Reports

Applying univariate vs. multivariate statistics to investigate therapeutic efficacy in (pre)clinical trials: A Monte Carlo simulation study on the example of a controlled preclinical neurotrauma trial

(2020) Hristo Todorov et al.   PLoS One

Technology outlook for real‐time quality attribute and process parameter monitoring in biopharmaceutical development—A review

(2020) Dhanuka P. Wasalathanthri et al.   BIOTECHNOLOGY AND BIOENGINEERING

High-Throughput Raman Spectroscopy Combined with Innovate Data Analysis Workflow to Enhance Biopharmaceutical Process Development

(2020) Stephen Goldrick et al.   Processes

Modern day monitoring and control challenges outlined on an industrial-scale benchmark fermentation process

(2019) Stephen Goldrick et al.   COMPUTERS & CHEMICAL ENGINEERING

Industrial batch process monitoring with limited data

(2019) Aditya Tulsyan et al.   JOURNAL OF PROCESS CONTROL

Metabolomic profiling of CHO fed‐batch growth phases at 10, 100, and 1,000 L

(2019) Maja Vodopivec et al.   BIOTECHNOLOGY AND BIOENGINEERING

Scale‐down model qualification of ambr® 250 high‐throughput mini‐bioreactor system for two commercial‐scale mAb processes

(2019) Matthew Manahan et al.   BIOTECHNOLOGY PROGRESS

A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification

(2019) Kevin M. Mendez et al.   Metabolomics

Systematic identification of metabolites controlling gene expression in E. coli

(2019) Martin Lempp et al.   Nature Communications

Identification of nonlinear kinetics of macroscopic bio-reactions using multilinear Gaussian processes

(2019) Mingliang Wang et al.   COMPUTERS & CHEMICAL ENGINEERING

Machine Learning for Quantitative Finance Applications: A Survey

(2019) Rundo et al.   Applied Sciences-Basel

Advances in industrial biopharmaceutical batch process monitoring: Machine-learning methods for small data problems

(2018) Aditya Tulsyan et al.   BIOTECHNOLOGY AND BIOENGINEERING

Selective protein quantification for preparative chromatography using variable pathlength UV/Vis spectroscopy and partial least squares regression

(2018) Nina Brestrich et al.   CHEMICAL ENGINEERING SCIENCE

In-line monitoring of amino acids in mammalian cell cultures using raman spectroscopy and multivariate chemometrics models

(2017) Hemlata Bhatia et al.   ENGINEERING IN LIFE SCIENCES

Artificial neural network (ANN)-based prediction of depth filter loading capacity for filter sizing

(2016) Harshit Agarwal et al.   BIOTECHNOLOGY PROGRESS

Acute toxicities of pharmaceuticals toward green algae. mode of action, biopharmaceutical drug disposition classification system and quantile regression models

(2016) Jonathan Villain et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

User-friendly optimization approach of fed-batch fermentation conditions for the production of iturin A using artificial neural networks and support vector machine

(2015) Fudi Chen et al.   ELECTRONIC JOURNAL OF BIOTECHNOLOGY

Multivariate PAT solutions for biopharmaceutical cultivation: current progress and limitations

(2014) Sarah M. Mercier et al.   TRENDS IN BIOTECHNOLOGY

Machine learning for targeted display advertising: transfer learning in action

(2013) C. Perlich et al.   MACHINE LEARNING

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

(2012) Stephen Craven et al.   BIOTECHNOLOGY PROGRESS