Towards clinical translation of ligand-functionalized liposomes in targeted cancer therapy: Challenges and opportunities

L Belfiore, DN Saunders, M Ranson… - Journal of controlled …, 2018 - Elsevier
The development of therapeutic resistance to targeted anticancer therapies remains a
significant clinical problem, with intratumoral heterogeneity playing a key role. In this context …

An imaging-based tumour growth and treatment response model: investigating the effect of tumour oxygenation on radiation therapy response

B Titz, R Jeraj - Physics in Medicine & Biology, 2008 - iopscience.iop.org
A multiscale tumour simulation model employing cell-line-specific biological parameters and
functional information derived from pre-therapy PET/CT imaging data was developed to …

Simulation-based optimization of radiotherapy: Agent-based modeling and reinforcement learning

A Jalalimanesh, HS Haghighi, A Ahmadi… - … and Computers in …, 2017 - Elsevier
Along with surgery and chemotherapy, radiotherapy is an effective way to treat cancer. Many
cancer patients take delivery of radiation. The goal of radiotherapy is to destroy the tumor …

Multi-objective optimization of radiotherapy: distributed Q-learning and agent-based simulation

A Jalalimanesh, HS Haghighi, A Ahmadi… - … of Experimental & …, 2017 - Taylor & Francis
Radiotherapy (RT) is among the regular techniques for the treatment of cancerous tumours.
Many of cancer patients are treated by this manner. Treatment planning is the most …

An advanced discrete state–discrete event multiscale simulation model of the response of a solid tumor to chemotherapy: Mimicking a clinical study

GS Stamatakos, EA Kolokotroni, DD Dionysiou… - Journal of theoretical …, 2010 - Elsevier
In this paper an advanced, clinically oriented multiscale cancer model of breast tumor
response to chemotherapy is presented. The paradigm of early breast cancer treated by …

A voxel‐based multiscale model to simulate the radiation response of hypoxic tumors

I Espinoza, P Peschke, CP Karger - Medical physics, 2015 - Wiley Online Library
Purpose: In radiotherapy, it is important to predict the response of tumors to irradiation prior
to the treatment. This is especially important for hypoxic tumors, which are known to be …

A multiscale road map of cancer spheroids–incorporating experimental and mathematical modelling to understand cancer progression

D Loessner, JP Little, GJ Pettet… - Journal of cell …, 2013 - journals.biologists.com
Computational models represent a highly suitable framework, not only for testing biological
hypotheses and generating new ones but also for optimising experimental strategies. As …

[HTML][HTML] Critical parameters determining standard radiotherapy treatment outcome for glioblastoma multiforme: a computer simulation

DD Dionysiou, GS Stamatakos, D Gintides… - The open biomedical …, 2008 - ncbi.nlm.nih.gov
Critical Parameters Determining Standard Radiotherapy Treatment Outcome for Glioblastoma
Multiforme: A Computer Simulation - PMC Back to Top Skip to main content NIH NLM Logo …

Applying a 4D Multiscale In Vivo Tumor Growth Model to the Exploration of Radiotherapy Scheduling: The Effects of Weekend Treatment Gaps and P53 Gene Status …

DD Dionysiou, GS Stamatakos Jr - Cancer Informatics, 2006 - journals.sagepub.com
The present paper aims at demonstrating clinically oriented applications of the multiscale
four dimensional in vivo tumor growth simulation model previously developed by our …

A radiobiological model of radiotherapy response and its correlation with prognostic imaging variables

M Crispin-Ortuzar, J Jeong… - Physics in Medicine & …, 2017 - iopscience.iop.org
Radiobiological models of tumour control probability (TCP) can be personalized using
imaging data. We propose an extension to a voxel-level radiobiological TCP model in order …