ISI Report

Cell decision-making is a complex process that involves sensing environmental signals and making decisions based on the available information. In this article, we explore the use of detection theory in understanding cell decision-making. We review literature on how biochemical signals are processed by cells, the challenges of detecting signals in noisy environments, and how the principles of detection theory can be applied to understand cell decision-making. We also present a research methodology based on mathematical modeling to study cell decision-making and provide insights into how the parameters of the detection system can affect the outcome of cell decisions. Our results suggest that a better understanding of cell decision-making can be achieved through the application of detection theory principles.