Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Second regulatory workshop on utilising in silico models to expedite vaccine development, testing, and lifecycle management - an expert meeting report.

Vaccine·2026

Same author

In-situ product recovery in microfluidic bioreactors.

Current opinion in biotechnology·2026

Same author

Establishment of a Single-Cell Minimal Medium: A Case Study for Microfluidic Cultivation of Corynebacterium glutamicum.

Biotechnology and bioengineering·2026

Same author

Microfluidic-Based Whole-Cell Biosensor Systems-Challenges and Future Applications.

Biosensors·2026

Same author

Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges.

Biotechnology and bioengineering·2026

Same author

Turbid but accurate: automating lysostaphin quantification including uncertainty quantification.

Microbial cell factories·2026

Same journal

Bacterial spores as a modular platform for the production of amyloids for materials.

Trends in biotechnology·2026

Same journal

The oriGen case and Mexico's regulatory blind spots in genomic biobanking.

Trends in biotechnology·2026

Same journal

A caspase-3-activated protein expression system for apoptosis visualization and apoptosis-pyroptosis conversion to boost antitumor activity.

Trends in biotechnology·2026

Same journal

Over 4 months of ethylene production using solid-state photosynthetic cell factories.

Trends in biotechnology·2026

Same journal

Closing the nitrogen loop in groundwater with biohybrid technologies.

Trends in biotechnology·2026

Same journal

Engineering environmental bacteria for whole-cell PET hydrolysis and assimilation.

Trends in biotechnology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 19, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

Machine learning in bioprocess development: from promise to practice.

Laura M Helleckes¹, Johannes Hemmerich², Wolfgang Wiechert¹

¹Institute for Bio- and Geosciences (IBG-1), Forschungszentrum Jülich GmbH, 52428 Jülich, Germany; RWTH Aachen University, Templergraben 55, 52062 Aachen, Germany.

Trends in Biotechnology

|December 1, 2022

Summary

This summary is machine-generated.

Machine learning (ML) methods leverage big data in bioprocess development for efficient strain engineering, optimization, and control. These data-driven approaches enhance experimental design and facility utilization in modern bioprocessing.

Keywords:

bioprocess development machine learning process analytical technology process control process scale-up strain selection

More Related Videos

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation

Published on: May 18, 2020

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

Related Experiment Videos

Last Updated: Aug 19, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation

Published on: May 18, 2020

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

Area of Science:

Biotechnology
Process Engineering
Data Science

Background:

Modern bioprocess development generates vast, heterogeneous experimental data.
Novel analytical techniques, digitalization, and automation are key drivers.
This data holds valuable information for process understanding and optimization.

Purpose of the Study:

To review the application of machine learning (ML) in bioprocess development.
To highlight ML's role in strain engineering, optimization, scale-up, monitoring, and control.
To identify challenges and future opportunities for ML in bioprocessing.

Main Methods:

Review of existing literature and case studies on ML applications in bioprocesses.
Categorization of ML applications across different stages of bioprocess development.
Analysis of successful applications, current limitations, and potential future directions.

Main Results:

ML methods are successfully applied in strain engineering and selection.
ML aids in optimizing bioprocess parameters and improving scale-up strategies.
ML facilitates real-time monitoring and control of bioprocesses.

Conclusions:

Machine learning offers powerful tools for data-driven bioprocess development.
Further progress in ML can significantly benefit various domains within bioprocessing.
Addressing current challenges will unlock the full potential of ML in optimizing bioprocesses.