Effects of Estrogen Contamination on Human Cells: Modeling and Prediction Based on Michaelis-Menten Kinetics

In this paper, a novel method is developed to predict the effect of estrogen on human living cells. This method is based on dynamic measurements coupled with a Michaelis-Menten type of mathematical modeling and parameter estimation procedure. The novelty of this method is the use of dynamic measurements generated by a real-time cell electronic sensor (RT-CES) system and the development of a mathematical model to predict the cell proliferation caused by estrogen stimulation.