Predictive modeling of drug response in non-hodgkin's lymphoma
We combine mathematical modeling with experiments in living mice to quantify the relative
roles of intrinsic cellular vs. tissue-scale physiological contributors to chemotherapy drug …
roles of intrinsic cellular vs. tissue-scale physiological contributors to chemotherapy drug …
Inducing biomechanical heterogeneity in brain tumor modeling by MR elastography: effects on tumor growth, vascular density and delivery of therapeutics
C Harkos, SF Svensson, KE Emblem, T Stylianopoulos - Cancers, 2022 - mdpi.com
Simple Summary Biomechanical forces aggravate brain tumor progression. In this study,
magnetic resonance elastography (MRE) is employed to extract tissue biomechanical …
magnetic resonance elastography (MRE) is employed to extract tissue biomechanical …
Coupling biomechanics to a cellular level model: an approach to patient-specific image driven multi-scale and multi-physics tumor simulation
CP May, E Kolokotroni, GS Stamatakos… - Progress in biophysics …, 2011 - Elsevier
Modeling of tumor growth has been performed according to various approaches addressing
different biocomplexity levels and spatiotemporal scales. Mathematical treatments range …
different biocomplexity levels and spatiotemporal scales. Mathematical treatments range …
Exploiting clinical trial data drastically narrows the window of possible solutions to the problem of clinical adaptation of a multiscale cancer model
The development of computational models for simulating tumor growth and response to
treatment has gained significant momentum during the last few decades. At the dawn of the …
treatment has gained significant momentum during the last few decades. At the dawn of the …
[HTML][HTML] A neuro evolutionary algorithm for patient calibrated prediction of survival in Glioblastoma patients
Background and objectives Glioblastoma multiforme (GBM) is the most common and
malignant type of primary brain tumors. Radiation therapy (RT) plus concomitant and …
malignant type of primary brain tumors. Radiation therapy (RT) plus concomitant and …
'In silico'oncology for clinical decision making in the context of nephroblastoma
The present paper outlines the initial version of the ACGT (Advancing Clinico-Genomic
Trials)–an Integrated Project, partly funded by the EC (FP6-2005-IST-026996) I …
Trials)–an Integrated Project, partly funded by the EC (FP6-2005-IST-026996) I …
Spatially adaptive active contours: a semi-automatic tumor segmentation framework
Purpose Tumor segmentation constitutes a crucial step in simulating cancer growth and
response to therapy. Incorporation of imaging data individualizes the simulation and assists …
response to therapy. Incorporation of imaging data individualizes the simulation and assists …
Article Commentary: Dealing with Diversity in Computational Cancer Modeling
This paper discusses the need for interconnecting computational cancer models from
different sources and scales within clinically relevant scenarios to increase the accuracy of …
different sources and scales within clinically relevant scenarios to increase the accuracy of …
Personalization of reaction-diffusion tumor growth models in MR images: application to brain gliomas characterization and radiotherapy planning
Reaction-diffusion based tumor growth models have been widely used in the literature for
modeling the growth of brain gliomas. Lately, recent models have started integrating medical …
modeling the growth of brain gliomas. Lately, recent models have started integrating medical …
Data-driven spatio-temporal modelling of glioblastoma
Mathematical oncology provides unique and invaluable insights into tumour growth on both
the microscopic and macroscopic levels. This review presents state-of-the-art modelling …
the microscopic and macroscopic levels. This review presents state-of-the-art modelling …