Six nonlinear difference equations, i.e., the bio-standard network theory, (Naitoh, JJIAM, 2011, Naitoh and Inoue, Proc. of AROB, 2013) model the basic interaction between molecular/cell groups on a time axis, and simulate the number of vigorous cells during the organisms’ lifespan. By utilizing this theory and adding mathematical formulations, we propose new means for prognostic medication, which can predict the premonitions, recovery, periods of illness, and distinction of individuals. In this study, by changing the equations’ parameters, we performed extremely many cases of computations in details while checking the number of divisions of ES cells. We found that there are two main groups. In each main group, we could find many subgroups. Then, some cases in one main group match certain individuals’ actual medical histories, which may lead to the correspondence of parameters and individuals.

Thus, the present model may be an artificial brain for predicting illness.<?xml:namespace prefix = "o" ns = "urn:schemas-microsoft-com:office:office" />