The role of the innate immune system in oncolytic virotherapy
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Publication:1731276
DOI10.1155/2017/6587258zbMath1409.92121OpenAlexW2773251671WikidataQ47548048 ScholiaQ47548048MaRDI QIDQ1731276
Jianjun Paul Tian, Tuan Anh Phan
Publication date: 13 March 2019
Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2017/6587258
Related Items (13)
Modeling dynamics of cancer radiovirotherapy ⋮ Hopf bifurcation without parameters in deterministic and stochastic modeling of cancer virotherapy. I ⋮ A mathematical study of the role of tbregs in breast cancer ⋮ On a three-dimensional and two four-dimensional oncolytic viro-therapy models ⋮ Dynamics of a virological model for cancer therapy with innate immune response ⋮ Backward Hopf bifurcation in a mathematical model for oncolytic virotherapy with the infection delay and innate immune effects ⋮ The role of viral infectivity in oncolytic virotherapy outcomes: a mathematical study ⋮ Spatial model for oncolytic virotherapy with lytic cycle delay ⋮ Natural killer cells recruitment in oncolytic virotherapy: a mathematical model ⋮ Basic stochastic model for tumor virotherapy ⋮ Deterministic and stochastic modeling for PDGF-driven gliomas reveals a classification of gliomas ⋮ Investigation into the role of macrophages heterogeneity on solid tumour aggregations ⋮ Combination of virotherapy and chemotherapy with optimal control for combating cancer
Cites Work
- Lytic cycle: A defining process in oncolytic virotherapy
- Periodic solutions of a model for tumor virotherapy
- Modeling and analysis of a virus that replicates selectively in tumor cells
- Applications of centre manifold theory
- ODE models for oncolytic virus dynamics
- Modeling of cancer virotherapy with recombinant measles viruses
- The replicability of oncolytic virus: defining conditions in tumor virotherapy
- Optimization of virotherapy for cancer
- A Direct Method for the Computation of Hopf Bifurcation Points
- Unnamed Item
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