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Physiological random processes in precision cancer therapy

Fig 2

Modeling uncertainty in-silico.

The paradigm of using in-silico modeling to make predictions about treatment effect under uncertainty about the physiological processes involved. Relevant physiological processes f₁, …, f_n are identified, and a model predicting response is selected. Because of uncertainty in the processes, they are modeled as random; hence the response Y is random, having PDF pr(y). A desired effect is identified, for instance response less than a threshold Y_c. Its probability is the area under pr(y) left of Y_c.

doi: https://doi.org/10.1371/journal.pone.0199823.g002