From data to better media – how engineering is transforming cell culture optimization

Developing cell culture media has traditionally relied on experience, intuition and incremental experimentation, making optimization a slow and resource-intensive process. Advances in automation and high-throughput experimentation are changing this approach, enabling scientists to generate larger, higher-quality datasets that inform AI and machine learning, reducing reliance on shared public datasets. Rather than replacing biological expertise, these technologies allow researchers to ask better questions, identify promising formulations more efficiently and optimize media for increasingly complex cell types and manufacturing processes. In this article, Kevin Pan, CTO and co-founder of Multus Biotechnology, explores how engineering principles are helping to redefine the future of cell culture media development.

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