A spatiotemporal multi-scale computational model for FDG PET imaging at different stages of tumor growth and angiogenesis

FM Kashkooli, MA Abazari, M Soltani, MA Ghazani… - Scientific reports, 2022 - nature.com
A deeper understanding of the tumor microenvironment (TME) and its role in metabolic
activity at different stages of vascularized tumors can provide useful insights into cancer …

Models of head and neck squamous cell carcinoma using bioengineering approaches

AP Bonartsev, B Lei, MS Kholina, KA Menshikh… - Critical Reviews in …, 2022 - Elsevier
The use of bioengineering methods and approaches is extremely promising for the
development of experimental models of cancer, especially head and neck squamous cell …

Spatiotemporal multi-scale modeling of radiopharmaceutical distributions in vascularized solid tumors

M Kiani Shahvandi, M Soltani, F Moradi Kashkooli… - Scientific reports, 2022 - nature.com
We present comprehensive mathematical modeling of radiopharmaceutical spatiotemporal
distributions within vascularized solid tumors. The novelty of the presented model is at …

[HTML][HTML] Main genes in breast cancer primary tumor and first metastasis in lymph nodes revealed by information-theory-based genetic networks pattern analysis

IUM Vargas, MOL Pineda, MA Mentado - Pattern Recognition Letters, 2024 - Elsevier
In this paper, we use pattern analysis in genetic networks to identify differentially expressed
genes in primary breast cancer tumors and their first metastasis in lymph nodes, using …

A novel numerical and artificial intelligence based approach to study anti-angiogenic drugs: Endostatin

MA Ghazani, M Soltani, P Jalali… - Applied Mathematical …, 2022 - Elsevier
Angiogenesis is known as the key factor in vascular tumor growth. In addition to furnishing
the tumor with fresh nutrients to survive and spread to the other tissues, tumor-induced …

Genetic network of breast cancer metastasis in lymph nodes via information theory algorithms

M Alvarado, I Valdespin, M León… - 2022 19th …, 2022 - ieeexplore.ieee.org
Breast cancer is a public health challenge because its high rate of growth around the world
in recent decades. Breast cancer induces metastasis on diverse organs, quite hard to bound …

A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth

H Coggan, H Andres Terre, P Liò - Frontiers in big Data, 2022 - frontiersin.org
Recent years have seen an increase in the application of machine learning to the analysis of
physical and biological systems, including cancer progression. A fundamental downside to …

Study of Tumour Induced Vessel Displacement in the Tumour Progression Rate with Advanced Bioinspired Computational Tools

I Karafyllidis, GC Sirakoulis… - Cancer, Complexity …, 2022 - Springer
In this chapter, a high level, namely tumour level, model and a corresponding simulation
algorithm are introduced for the study of the effect of tumour-induced vessel displacement …

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F Napolitano, C Axenie, OP Nave… - Implementation of AI …, 2023 - books.google.com
The application of neural networks to the modeling of cancer has seen a flood of interest in
recent years (Sanoob et al., 2016; Hsu et al., 2018; Ghazani et al., 2021; Kwak et al., 2021; …