Low-frequency Erk And Akt Activity Dynamics Are Predictive Of Stochastic Cell Division Events

This article discusses the use of machine learning techniques to predict cell division based on growth factor-induced time courses in single cells. The study found that models developed from a single cell line were effective in predicting cell division in both acute and chronic scenarios. The analysis also revealed relationships between ERK and Akt dynamics and the probability of cell division.