Can the Kuznetsov model replicate and predict cancer growth in humans?
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Publication:2082825
DOI10.1007/s11538-022-01075-7zbMath1500.92020OpenAlexW4297963661MaRDI QIDQ2082825
Dominik Bongartz, Mohammad El Wajeh, Jakob Nikolas Kather, Narmin Ghaffari Laleh, Falco Jung, Alexander Mitsos, Chrysoula D. Kappatou
Publication date: 10 October 2022
Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11538-022-01075-7
parameter estimationmathematical oncologytumor growth modelingparameter identifiability analysistumor growth prediction
Uses Software
Cites Work
- Matlab
- Identification of parametric models from experimental data. Transl. from an upd. French version by the authors, with the help of John Norton
- An evolutionary method for complex-process optimization
- Modeling immunotherapy of the tumor -- immune interaction
- Nonlinear dynamics of immunogenic tumors: Parameter estimation and global bifurcation analysis
- Mathematical modelling of the competition between tumors and immune system considering the role of the antibodies
- Modelling and mathematical problems related to tumor evolution and its interaction with the immune system
- Mathematical modelling for the role of CD\(4^+\)T cells in tumor-immune interactions
- Mixed immunotherapy and chemotherapy of tumors: modeling, applications and biological interpretations
- Implications of immune-mediated metastatic growth on metastatic dormancy, blow-up, early detection, and treatment
- Modeling CAR T-cell therapy with patient preconditioning
- On Identifiability of Nonlinear ODE Models and Applications in Viral Dynamics
- The MATLAB ODE Suite
- Diversity and virulence thresholds in AIDS.
- Guaranteed parameter estimation of non-linear dynamic systems using high-order bounding techniques with domain and CPU-time reduction strategies
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