ReviewFrontiers in bioengineering and biotechnology2023
A review of algorithmic approaches for cell culture media optimization.
Review in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Model-Guided Optimization of a Low-Serum Medium for Madin-Darby Canine Kidney Cells Using a Kolmogorov-Arnold Network and Bayesian Optimization.Applied biochemistry and biotechnology · 2026Article
- Translating Blue Light Stimulation From Batch to Perfusion: Process and Intracellular Metabolic Analysis.Biotechnology and bioengineering · 2026Article
- A data-driven evaluation of optimization techniques in cell culture media.Bioinformatics (Oxford, England) · 2026Article
- ADAM: advanced design and AI-driven modeling for plant tissue culture media optimization.Plant methods · 2026Article
- Optimizing the Method for Differentiation of Functional Platelets from Human Induced Pluripotent Stem Cells.Stem cell reviews and reports · 2026Article
- Fluid-Derived Organoids from Pleural Effusion and Ascites: Emerging Models for Drug Resistance and Personalized Oncology.Journal of Cancer · 2026Review
- Multiobjective Design of Growth Media with Genome-Scale Metabolic Models and Bayesian Optimization.Computational and structural biotechnology journal · 2026Article
- Identifying key bioprocess variables using explainable machine learning to enhance culture efficiency and viability of umbilical cord-derived mesenchymal stem cells.International journal of medical sciences · 2026Article
- Integrating real-time OUR monitoring with adaptive feeding for enhanced antibody production.Bioresources and bioprocessing · 2025Article
- Redefining media blending mathematically: a systematic approach for screening of medium components.Applied microbiology and biotechnology · 2025Article
- Review
- An integrated platform for liquid handling and cell imaging in life science applications.Nature communications · 2025Article
- Accelerating cell culture media development using Bayesian optimization-based iterative experimental design.Nature communications · 2025Article
- Neural network-ant-colony hybrid optimization of a bacterial fruit juice clarifying metallo-neutral-protease production.Journal of food science and technology · 2025Article
- Enhanced L-serine production in Corynebacterium glutamicum via promoter engineering and Bayesian optimization.World journal of microbiology & biotechnology · 2025Article
- Characterization and design of dipeptide media formulation for scalable therapeutic production.Applied microbiology and biotechnology · 2025Review
- AI-Assisted Cell Culture System.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Explainable AI for CHO cell culture media optimization and prediction of critical quality attribute.Applied microbiology and biotechnology · 2024Article
- Optimization of an Alternative Culture Medium for Phycocyanin Production fromMicroorganisms · 2024Article
- Plant Growth Regulation in Cell and Tissue Culture In Vitro.Plants (Basel, Switzerland) · 2024Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell culture media composition and culture conditions play a crucial role in product yield, quality and cost of production. Culture media optimization is the technique of improving media composition and culture conditions to achieve desired product outcomes. To achieve this, there have been many algorithmic methods proposed and used for culture media optimization in the literature. To help readers evaluate and decide on a method that best suits their specific application, we carried out a systematic review of the different methods from an algorithmic perspective that classifies, explains and compares the available methods. We also examine the trends and new developments in the area. This review provides recommendations to researchers regarding the suitable media optimization algorithm for their applications and we hope to also promote the development of new cell culture media optimization methods that are better suited to existing and upcoming challenges in this biotechnology field, which will be essential for more efficient production of various cell culture products.
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Registered trials
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