  In cancer treatment, chemotherapy is administered according a constant
schedule. The chronotherapy approach, considering chronobiological drug
delivery, adapts the chemotherapy profile to the circadian rhythms of the human
organism. This reduces toxicity effects and at the same time enhances
efficiency of chemotherapy. To personalize cancer treatment, chemotherapy
profiles have to be further adapted to individual patients. Therefore, we
present a new model to represent cycle phenomena in circadian rhythms. The
model enables a more precise modelling of the underlying circadian rhythms. In
comparison with the standard model, our model delivers better results in all
defined quality indices. The new model can be used to adapt the chemotherapy
profile efficiently to individual patients. The adaption to individual patients
contributes to the aim of personalizing cancer therapy.
