Optimal radiation fractionation for low-grade gliomas: Insights from a mathematical model

T Galochkina, A Bratus, VM Pérez-García - Mathematical biosciences, 2015 - Elsevier
We study optimal radiotherapy fractionations for low-grade glioma using mathematical
models. Both space-independent and space-dependent models are studied. Two different …

The technologically integrated oncosimulator: combining multiscale cancer modeling with information technology in the in silico oncology context

G Stamatakos, D Dionysiou, A Lunzer… - IEEE Journal of …, 2013 - ieeexplore.ieee.org
This paper outlines the major components and function of the technologically integrated
oncosimulator developed primarily within the Advancing Clinico Genomic Trials on Cancer …

[HTML][HTML] Deep neural networks for neuro-oncology: Towards patient individualized design of chemo-radiation therapy for Glioblastoma patients

AE Zade, SS Haghighi, M Soltani - Journal of Biomedical Informatics, 2022 - Elsevier
Background and objectives Glioblastoma multiforme (GBM) is the most common and deadly
type of primary cancers of the brain and central nervous system in adults. Despite the …

Reinforcement learning for optimal scheduling of Glioblastoma treatment with Temozolomide

AE Zade, SS Haghighi, M Soltani - Computer methods and programs in …, 2020 - Elsevier
Background: Glioblastoma multiforme (GBM) is the most frequent primary brain tumor in
adults and Temozolomide (TMZ) is an effective chemotherapeutic agent for its treatment. In …

Non-standard radiotherapy fractionations delay the time to malignant transformation of low-grade gliomas

A Henares-Molina, S Benzekry, PC Lara… - PLoS …, 2017 - journals.plos.org
Grade II gliomas are slowly growing primary brain tumors that affect mostly young patients.
Cytotoxic therapies (radiotherapy and/or chemotherapy) are used initially only for patients …

Macroscopic cerebral tumor growth modeling from medical images: A review

A Elazab, YM Abdulazeem, AM Anter, Q Hu… - IEEE …, 2018 - ieeexplore.ieee.org
Mathematical models have been ubiquitously employed in various applications. One of
these applications that arose in the past few decades is cerebral tumor growth modeling …

Determining and interpreting correlations in lipidomic networks found in glioblastoma cells

R Görke, A Meyer-Bäse, D Wagner, H He… - BMC systems …, 2010 - Springer
Background Intelligent and multitiered quantitative analysis of biological systems rapidly
evolves to a key technique in studying biomolecular cancer aspects. Newly emerging …

Extreme protraction for low-grade gliomas: theoretical proof of concept of a novel therapeutical strategy

VM Pérez-García… - … Medicine and Biology: A …, 2016 - academic.oup.com
Grade II gliomas are slowly growing primary brain tumours that affect mostly young patients
and become fatal after a variable time period. Current clinical handling includes surgery as …

Modeling of nanotherapy response as a function of the tumor microenvironment: focus on liver metastasis

HB Frieboes, S Raghavan, B Godin - Frontiers in Bioengineering and …, 2020 - frontiersin.org
The tumor microenvironment (TME) presents a challenging barrier for effective nanotherapy-
mediated drug delivery to solid tumors. In particular for tumors less vascularized than the …

The" Oncosimulator": a multilevel, clinically oriented simulation system of tumor growth and organism response to therapeutic schemes. Towards the clinical …

GS Stamatakos, DD Dionysiou, NM Graf… - 2007 29th Annual …, 2007 - ieeexplore.ieee.org
The" Oncosimulator" is at the same time a concept of multilevel integrative cancer and
(treatment affected) normal tissue biology, an algorithmic construct and a software tool which …