Patent ID: 8452543
Filing Date: 2013-05-28
Classification: G16B,G16C,Y02A

Abstract:
1. A computer-implemented method of predicting the likelihood of a microbial population of cells associated with a pathophysiological condition of acquiring resistance to a therapeutic agent, comprising: providing a computer-implemented simulation in a computer system including at least an input/output system and a mathematical model of growth response over a period of time of a microbial cell population in contact with a therapeutic agent, wherein the mathematical model comprises, as operably linked components: inputting parameter values into the mathematical model to determine at least susceptibility of the cells to the therapeutic agent and growth of a microbial cell population during contact therewith over the period of time; generating output values predicting cellular susceptibility and cellular growth at incremental points over the time period; and correlating, at or near the end of the time period, a decrease in cellular susceptibility output values and an increase in cell population growth values in a microbial cell population which initially demonstrated susceptibility to the therapeutic agent with the likelihood of acquisition of resistance of the microbial cell population to the therapeutic agent, thereby predicting the likelihood of acquisition of resistance to the therapeutic agent.