Pages that link to "Item:Q1648988"

The following pages link to The evolution of tumour composition during fractionated radiotherapy: implications for outcome (Q1648988):

Displaying 24 items.

• Adjoint sensitivity analysis of a tumor growth model and its application to spatiotemporal radiotherapy optimization (Q326540) (← links)
• Modelling tumour oxygenation, reoxygenation and implications on treatment outcome (Q382526) (← links)
• Response of tumor spheroids to radiation: Modeling and parameter estimation (Q708739) (← links)
• Modeling the spatial distribution of chronic tumor hypoxia: implications for experimental and clinical studies (Q764161) (← links)
• Reoxygenation and split-dose response to radiation in a tumour model with Krogh-type vascular geometry (Q942907) (← links)
• Mathematical oncology (Q1648952) (← links)
• Predicting patient-specific radiotherapy protocols based on mathematical model choice for proliferation saturation index (Q1648986) (← links)
• Mathematical modelling of a hypoxia-regulated oncolytic virus delivered by tumour-associated macrophages (Q1716887) (← links)
• A mathematical study of the influence of hypoxia and acidity on the evolutionary dynamics of cancer (Q2035804) (← links)
• Phenotypic variation modulates the growth dynamics and response to radiotherapy of solid tumours under normoxia and hypoxia (Q2049113) (← links)
• Spatio-temporal modelling of phenotypic heterogeneity in tumour tissues and its impact on radiotherapy treatment (Q2109231) (← links)
• Combining mechanisms of growth arrest in solid tumours: a mathematical investigation (Q2154526) (← links)
• Towards the virtual tumor for optimizing radiotherapy treatments of hypoxic tumors: a novel model of heterogeneous tissue vasculature and oxygenation (Q2159025) (← links)
• A four-dimensional simulation model of tumour response to radiotherapy in vivo: parametric validation considering radiosensitivity, genetic profile and fractionation (Q2186439) (← links)
• Mathematical modelling of radiotherapy strategies for early breast cancer (Q2199173) (← links)
• Mathematical modeling and analysis of tumor-volume variation during radiotherapy (Q2245796) (← links)
• The role of hypofractionated radiotherapy in the management of head and neck cancer -- a modelling approach (Q2328274) (← links)
• Mathematical model of tumour spheroid experiments with real-time cell cycle imaging (Q2662116) (← links)
• The Importance of Spatial Distribution of Stemness and Proliferation State in Determining Tumor Radioresponse (Q3635223) (← links)
• A three phase model to investigate the effects of dead material on the growth of avascular tumours (Q5001275) (← links)
• Investigating the influence of growth arrest mechanisms on tumour responses to radiotherapy (Q6168039) (← links)
• Predicting radiotherapy patient outcomes with real-time clinical data using mathematical modelling (Q6183190) (← links)
• Formation and growth of co-culture tumour spheroids: new compartment-based mathematical models and experiments (Q6188380) (← links)
• Simulating tumor volume dynamics in response to radiotherapy: implications of model selection (Q6192829) (← links)