ArticleEngineering in life sciences2023
Multi-objective Bayesian algorithm automatically discovers low-cost high-growth serum-free media for cellular agriculture application.
Article in Engineering in life sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Article
- MuSC cultivation for cultured meat production: recent advances, current limitations, and future directions.Food science of animal resources · 2026Review
- Highly Sustainable Plant and Yeast Hydrolysate-Based Alternative for Basal Medium Supports Long-TermFoods (Basel, Switzerland) · 2026Article
- A data-driven evaluation of optimization techniques in cell culture media.Bioinformatics (Oxford, England) · 2026Article
- A Guide to Bayesian Optimization in Bioprocess Engineering.Biotechnology and bioengineering · 2026Review
- Bioprocess Engineering for Cultivated Meat.Advances in biochemical engineering/biotechnology · 2026Review
- Multi-response optimization of defined and undefined serum-free media for enhanced proliferation of immortalized lamb muscle cells.Scientific reports · 2025Article
- Accelerating cell culture media development using Bayesian optimization-based iterative experimental design.Nature communications · 2025Article
- Bayesian Optimization in Bioprocess Engineering-Where Do We Stand Today?Biotechnology and bioengineering · 2025Review
- Optimisation of surfactin yield inComputational and structural biotechnology journal · 2024Article
- Edible mycelium as proliferation and differentiation support for anchorage-dependent animal cells in cultivated meat production.NPJ science of food · 2024Article
- Artificial intelligence and machine learning applications for cultured meat.Frontiers in artificial intelligence · 2024Review
- Multi-objective Bayesian algorithm automatically discovers low-cost high-growth serum-free media for cellular agriculture application.Engineering in life sciences · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this work, we applied a multi-information source modeling technique to solve a multi-objective Bayesian optimization problem involving the simultaneous minimization of cost and maximization of growth for serum-free C2C12 cells using a hyper-volume improvement acquisition function. In sequential batches of custom media experiments designed using our Bayesian criteria, collected using multiple assays targeting different cellular growth dynamics, the algorithm learned to identify the trade-off relationship between long-term growth and cost. We were able to identify several media with
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Registered trials
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