Modeling treatment of cancer using oncolytic virotherapy with saturated incidence

DOI10.1080/07362994.2019.1703743zbMath1444.92045OpenAlexW2996801417WikidataQ126526730 ScholiaQ126526730MaRDI QIDQ5113868

Mini Ghosh, Maharajan Rajalakshmi

Publication date: 18 June 2020

Published in: Stochastic Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07362994.2019.1703743

zbMATH Keywords

simulationcancerstochastic modelsaturated incidencevirotherapy

Mathematics Subject Classification ID

Bifurcation theory for ordinary differential equations (34C23) Medical applications (general) (92C50) Applications of stochastic analysis (to PDEs, etc.) (60H30)

Related Items

Hopf bifurcation without parameters in deterministic and stochastic modeling of cancer virotherapy. I, Unnamed Item, Basic stochastic model for tumor virotherapy

Uses Software

• MATCONT

Cites Work

• An Îto stochastic differential equations model for the dynamics of the MCF-7 breast cancer cell line treated by radiotherapy
• Stochastic models for virus and immune system dynamics
• Disease transmission models with density-dependent demographics
• Mathematical modeling of cancer radiovirotherapy
• Memory versus effector immune responses in oncolytic virotherapies
• Dynamics of tumor virotherapy: A deterministic and stochastic model approach
• A mathematical model for cell cycle-specific cancer virotherapy
• Modeling treatment of cancer using virotherapy with generalized logistic growth of tumor cells
• MATCONT