Pages that link to "Item:Q1742638"

The following pages link to Mathematical modeling of the effects of tumor heterogeneity on the efficiency of radiation treatment schedule (Q1742638):

Displaying 14 items.

• Optimization of radiation dosing schedules for proneural glioblastoma (Q264099) (← links)
• A proton therapy model using discrete difference equations with an example of treating hepatocellular carcinoma (Q523864) (← links)
• A structure-preserving computational method in the simulation of the dynamics of cancer growth with radiotherapy (Q1617482) (← links)
• A network approach to quantifying radiotherapy effect on cancer: radiosensitive gene group centrality (Q1717367) (← links)
• A tutorial review of mathematical techniques for quantifying tumor heterogeneity (Q2038763) (← links)
• Role of hypoxia-activated prodrugs in combination with radiation therapy: an in silico approach (Q2045436) (← links)
• A mathematical study of the impact of cell plasticity on tumour control probability (Q2047807) (← links)
• Temporal optimization of radiation therapy to heterogeneous tumour populations and cancer stem cells (Q2088009) (← links)
• The impact of random microenvironmental fluctuations on tumor control probability (Q2225961) (← links)
• A minimal modeling framework of radiation and immune system synergy to assist radiotherapy planning (Q2288507) (← links)
• The role of hypofractionated radiotherapy in the management of head and neck cancer -- a modelling approach (Q2328274) (← links)
• Mathematical modeling of cancer radiovirotherapy (Q2488641) (← links)
• Optimization of radiation therapy fractionation schedules in the presence of tumor repopulation (Q2802256) (← links)
• Investigating the influence of growth arrest mechanisms on tumour responses to radiotherapy (Q6168039) (← links)