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Control Theory and Cancer Chemotherapy: How They Interact
1Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy.
Frontiers in Bioengineering and Biotechnology
|February 1, 2021
Summary
Control theory offers valuable insights into cancer chemotherapy by modeling pharmacokinetics and pharmacodynamics. Overcoming challenges in biological complexity and data availability is key for future applications.
Area of Science:
- Control theory applications in biological and medical fields.
- Mathematical modeling in pharmacology and oncology.
Background:
- Control theory has been applied to pharmacokinetic and pharmacodynamic models for antitumor therapies since the early 1980s.
- Despite its importance, challenges remain in managing the complexity of biological processes using control theory.
Purpose of the Study:
- Introduce basic concepts of control theory, its aims, and mathematical formalization.
- Review the application of control theory in cell phase-specific models for cancer chemotherapy.
- Discuss the strengths and limitations of control theory in pharmacokinetic and pharmacodynamic modeling.
Main Methods:
- Review of control theory principles.
- Analysis of cell phase-specific models for cancer chemotherapy.
- Discussion of data availability and model structure limitations.
Main Results:
- Control theory is a valuable tool for analyzing pharmacokinetic and pharmacodynamic models in cancer chemotherapy.
- Limitations are often linked to data availability and the mathematical form of the model.
- Future research directions are proposed to address these limitations.
Conclusions:
- Control theory remains crucial for understanding and optimizing cancer chemotherapy.
- Addressing data limitations and refining mathematical models are essential for advancing applications.
- Further research is needed for effective and informative control theory applications in chemotherapy modeling.
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