Applied Mathematical Modeling in Oncology
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E3: Mathematical Biology".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 428
Special Issue Editors
Interests: mathematical biology; numerical analysis; problems of fluid flow; random problems
Special Issues, Collections and Topics in MDPI journals
Interests: quantitative systems modeling; inverse problems; optimal control; medical imaging
Special Issue Information
Dear Colleagues,
Mathematical modeling is increasingly vital in oncology, offering crucial insights into cancer biology and enabling improved prognosis, prediction, treatment planning, and intervention. Various applications range from analytical models to agent-based simulations of complex dynamics. Furthermore, advancements in imaging systems and experimental techniques provide unparalleled data for testing, validating, and enhancing proposed models.
In this Special Issue, we solicit submissions with a focus on state-of-the-art contributions in the field of mathematical oncology that bring together novel modeling approaches including deterministic, stochastic, and agent-based models, guided and validated by experimental data.
Prof. Dr. Benito Chen-Charpentier
Dr. Souvik Roy
Prof. Dr. Hristo V. Kojouharov
Guest Editors
Manuscript Submission Information
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Keywords
- mathematical modeling
- pharmacokinetics
- pharmacodynamics
- stochastic
- differential equations
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