Honoka Aida

Active learning for medium optimization for selective bacterial culture

This study uses active learning to optimize medium components for selective culture of Lactobacillus plantarum and Escherichia coli, improving growth specificity through machine learning models trained on growth curve data.

Machine learning-assisted medium optimization revealed the discriminated strategies for improved production of the foreign and native metabolites

The paper uses machine learning to optimize medium composition for improved production of foreign and native metabolites in Escherichia coli.

Machine learning-assisted discovery of growth decision elements by relating bacterial population dynamics to environmental diversity

The paper uses machine learning to analyze bacterial growth data and identifies environmental factors influencing growth phases in Escherichia coli.