Mathematical Modeling of CD4+ and Cytokine Interactions in Tumor Growth
Developed a mathematical modeling framework to investigate the interactions between CD4+ immune cells, cytokines, and tumor growth in the context of cancer immunotherapy. The project focused on understanding how immune responses and treatment dosage influence tumor regression and cancer control.
The study applied mathematical modeling and numerical analysis techniques to simulate the dynamic interactions between tumor cells, immune cells, and cytokines. Computational simulations were performed to analyze how varying cytokine treatment doses affect tumor progression and immune system responses.
The results demonstrated that treatment dosage plays a significant role in tumor control, and higher cytokine doses may contribute to complete tumor elimination under certain conditions. This project highlights the importance of mathematical and computational approaches in cancer immunotherapy research and biological system analysis.
Key Technical Work
- Developed mathematical models for tumor-immune system interactions
- Simulated interactions between CD4+ cells, cytokines, and tumor cells
- Performed numerical analysis of cancer immunotherapy models
- Investigated the impact of treatment dosage on tumor regression
- Conducted computational simulations for biological dynamic systems
- Analyzed tumor growth and immune response behaviours
- Applied numerical methods for solving differential equation models
- Visualized simulation results and treatment response patterns
GitHub Repository
Technologies
- Python
- MATLAB
- Mathematical Modeling
- Numerical Analysis
- Scientific Computing
- Differential Equations
- Cancer Immunotherapy Modeling
Skills
- Mathematical Modeling
- Computational Biology
- Numerical Simulation
- Cancer Systems Biology
- Immunotherapy Modeling
- Scientific Programming
- Differential Equation Analysis
- Data Visualization