Robust Individual Circadian Parameter Estimation for Biosignal-based Personalisation of Cancer Chronotherapy

TL;DR

This paper introduces a new model for accurately estimating individual circadian parameters from biosignals, improving personalization of cancer chronotherapy by better aligning chemotherapy schedules with patients' biological rhythms.

Contribution

A novel circadian rhythm model that enhances the precision of individual parameter estimation for personalized cancer treatment schedules.

Findings

The new model outperforms standard models in all quality indices.

Improved individual circadian parameter estimation facilitates personalized chemotherapy.

Enhanced model accuracy supports better synchronization of treatment with biological rhythms.

Abstract

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.