Pages that link to "Item:Q2209914"
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The following pages link to A mathematical model of the treatment and survival of patients with high-grade brain tumours (Q2209914):
Displaying 15 items.
- Modelling lymphoma therapy and outcome (Q458674) (← links)
- Mathematically modeling the biological properties of gliomas: A review (Q888660) (← links)
- Optimal radiation fractionation for low-grade gliomas: insights from a mathematical model (Q899208) (← links)
- A mathematical model of brain tumour response to radiotherapy and chemotherapy considering radiobiological aspects (Q1629074) (← links)
- Influence of multiple delays in brain tumor and immune system interaction with T11 target structure as a potent stimulator (Q1989674) (← links)
- A mathematical model for self-limiting brain tumors (Q2177215) (← links)
- A four-dimensional simulation model of tumour response to radiotherapy in vivo: parametric validation considering radiosensitivity, genetic profile and fractionation (Q2186439) (← links)
- Nonlinear ghost waves accelerate the progression of high-grade brain tumors (Q2200235) (← links)
- Mathematical model of brain tumour growth with drug resistance (Q2247011) (← links)
- Mathematical analysis of a generalised model of chemotherapy for low grade gliomas (Q2316391) (← links)
- A mathematical model for brain tumor response to radiation therapy (Q2339997) (← links)
- A mathematical model of low grade gliomas treated with temozolomide and its therapeutical implications (Q2407296) (← links)
- Quantifying the role of immunotherapeutic drug T11 target structure in progression of malignant gliomas: mathematical modeling and dynamical perspective (Q2408696) (← links)
- Patient-specific mathematical neuro-oncology: using a simple proliferation and invasion tumor model to inform clinical practice (Q2516459) (← links)
- Mathematical modeling of brain metastases growth and response to therapies: a review (Q6594578) (← links)
