Pages that link to "Item:Q378943"
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The following pages link to Mathematical modeling of regulatory T cell effects on renal cell carcinoma treatment (Q378943):
Displaying 27 items.
- A comparison and catalog of intrinsic tumor growth models (Q467740) (← links)
- A model for effects of adaptive immunity on tumor response to chemotherapy and chemoimmunotherapy (Q739265) (← links)
- Mathematical modeling of tumor-induced immunosuppression by myeloid-derived suppressor cells: implications for therapeutic targeting strategies (Q1649405) (← links)
- An extended mathematical model of tumor growth and its interaction with the immune system, to be used for developing an optimized immunotherapy treatment protocol (Q1680709) (← links)
- Methods for determining key components in a mathematical model for tumor-immune dynamics in multiple myeloma (Q1712827) (← links)
- Mathematical modeling of tumor-immune cell interactions (Q1739240) (← links)
- Dynamics of immune checkpoints, immune system, and BCG in the treatment of superficial bladder cancer (Q1784129) (← links)
- Role of regulatory T cells on a simple tumor-immune interaction system (Q2025486) (← links)
- Natural killer cells recruitment in oncolytic virotherapy: a mathematical model (Q2035789) (← links)
- Mathematical modeling of tumor growth: the MCF-7 breast cancer cell line (Q2045457) (← links)
- Computation of the conditions for anti-angiogenesis and gene therapy synergistic effects: sensitivity analysis and robustness of target solutions (Q2049195) (← links)
- Can the Kuznetsov model replicate and predict cancer growth in humans? (Q2082825) (← links)
- Mathematical modeling of tumor growth and treatment: triple negative breast cancer (Q2095683) (← links)
- Mathematical modeling of tumor-immune system interactions: the effect of rituximab on breast cancer immune response (Q2115998) (← links)
- Mathematical modeling and analysis of CD200-CD200R in cancer treatment (Q2154530) (← links)
- The impact of immunotherapy on a glioma immune interaction model (Q2169634) (← links)
- Mathematical modelling of the inhibitory role of regulatory T cells in tumor immune response (Q2205364) (← links)
- Modeling the effect of immunotherapies on human castration-resistant prostate cancer (Q2225975) (← links)
- Optimisation of anti-cancer peptide vaccines to preferentially elicit high-avidity T cells (Q2288459) (← links)
- The preliminary efficacy evaluation of the CTLA-4-ig treatment against lupus nephritis through \textit{in-silico} analyses (Q2415808) (← links)
- Mathematical modelling of autoimmune myocarditis and the effects of immune checkpoint inhibitors (Q2670147) (← links)
- A mathematical study of the role of tbregs in breast cancer (Q2676644) (← links)
- MATHEMATICAL MODELING OF PANCREATIC CANCER TREATMENT WITH CANCER STEM CELLS (Q3390818) (← links)
- On a multiobjective optimal control of a tumor growth model with immune response and drug therapies (Q4608258) (← links)
- Mathematics + Cancer: An Undergraduate "Bridge" Course in Applied Mathematics (Q5216251) (← links)
- Studying the importance of regulatory T cells in chemoimmunotherapy mathematical modeling and proposing new approaches for developing a mathematical dynamic of cancer (Q6174173) (← links)
- A Mathematical Model of TCR-T Cell Therapy for Cervical Cancer (Q6496561) (← links)