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[HTML][HTML] Mathematical modeling of brain metastases growth and response to therapies: A review
Brain metastases (BMs) are the most common intracranial tumor type and a significant
health concern, affecting approximately 10% to 30% of all oncological patients. Although …
health concern, affecting approximately 10% to 30% of all oncological patients. Although …
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 …
Intra-tumor heterogeneity and its impact on cytotoxic therapy in a two-dimensional vascular tumor growth model
I Lampropoulos, M Charoupa… - Chemical Engineering …, 2022 - Elsevier
We study the effect of intra-tumor heterogeneity on the dynamics of a growing tumor, utilizing
a two-dimensional continuum model. The cancerous phase is divided into two sub-phases …
a two-dimensional continuum model. The cancerous phase is divided into two sub-phases …
Radiation necrosis after radiation therapy treatment of brain metastases: A computational approach
B Ocaña-Tienda, O León-Triana… - PLOS Computational …, 2024 - journals.plos.org
Metastasis is the process through which cancer cells break away from a primary tumor,
travel through the blood or lymph system, and form new tumors in distant tissues. One of the …
travel through the blood or lymph system, and form new tumors in distant tissues. One of the …
Growth exponents reflect evolutionary processes and treatment response in brain metastases
Tumor growth is the result of the interplay of complex biological processes in huge numbers
of individual cells living in changing environments. Effective simple mathematical laws have …
of individual cells living in changing environments. Effective simple mathematical laws have …
AMBER: A Modular Model for Tumor Growth, Vasculature and Radiation Response
Computational models of tumor growth are valuable for simulating the dynamics of cancer
progression and treatment responses. In particular, agent-based models (ABMs) tracking …
progression and treatment responses. In particular, agent-based models (ABMs) tracking …
Characterising cancer cell responses to cyclic hypoxia using mathematical modelling
In vivo observations show that oxygen levels in tumours can fluctuate on fast and slow
timescales. As a result, cancer cells can be periodically exposed to pathologically low …
timescales. As a result, cancer cells can be periodically exposed to pathologically low …
On optimal temozolomide scheduling for slowly growing glioblastomas
B Segura-Collar, J Jiménez-Sánchez… - Neuro-Oncology …, 2022 - academic.oup.com
Background Temozolomide (TMZ) is an oral alkylating agent active against gliomas with a
favorable toxicity profile. It is part of the standard of care in the management of glioblastoma …
favorable toxicity profile. It is part of the standard of care in the management of glioblastoma …
Spatiotemperal Dynamics of Osteoarthritis: Bridging Insights from Bench to Bedside
Osteoarthritis (OA) is a multifaceted degenerative joint disorder affected by various risk
factors such as age, mechanical stress, inflammation, and metabolic influences. These …
factors such as age, mechanical stress, inflammation, and metabolic influences. These …
Modelling the effect of vascular status on tumour evolution and outcome after thermal therapy
Microscale oxygenation plays a prominent role in tumour progression. Spatiotemporal
variability of oxygen distribution in the tumour microenvironment contributes to cellular …
variability of oxygen distribution in the tumour microenvironment contributes to cellular …