Latest Research in Mathematical Modeling in Cancer Research
A special issue of Mathematical and Computational Applications (ISSN 2297-8747).
Deadline for manuscript submissions: 31 July 2026 | Viewed by 1285
Editor
2. Faculty of Computer Science, College of Management Academic Studies, Rishon LeTsiyon 75190, Israel
Interests: machine learning; tumor-immune system; mathematical modeling; asymptotic analysis; partial differential equations
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the application of mathematical and computational techniques across various scientific disciplines, including biology, chemistry, and physics. We are particularly interested in mathematical modeling related to cancer treatment, emphasizing the interaction between cancerous tumors, the immune system, and therapeutic approaches such as chemotherapy and immunotherapy.
The scope of this Special Issue includes mathematical models for various cancer types, including bladder cancer, breast cancer, prostate cancer, liver cancer, brain cancer, and cervical cancer. Research contributions should employ innovative numerical methods, semi-analytical approaches, analytical techniques, or asymptotic methods to analyze these models.
A crucial aspect of mathematical modeling in cancer research is understanding the stability of equilibrium points within these models, providing insights into the dynamics of tumor progression and treatment responses. We also emphasize the importance of practical applications, and all submitted papers must include real-world examples demonstrating the effectiveness of the proposed methods.
Additionally, this Special Issue welcomes contributions that explore the role of machine learning in cancer research, particularly in handling and analyzing large datasets related to tumor growth, treatment outcomes, and patient responses.
We invite researchers to submit high-quality original work that advances the mathematical and computational understanding of cancer treatment.
Dr. Ophir Nave
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning
- tumor–immune system interaction
- mathematical modeling of cancer treatment
- immunotherapy and chemotherapy treatment
- asymptotic analysis
- numerical methods
- numerical computation
- fractional differential equations
- bifurcation
- ordinary differential equations
- partial differential equations
- big data
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