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Published in: Network Modeling Analysis in Health Informatics and Bioinformatics 1/2023

01-12-2023 | Original Article

Mathematical model of the tumor cells’ population growth

Authors: Nishant Namdev, Himanshu Jain, Arvind Kumar Sinha

Published in: Network Modeling Analysis in Health Informatics and Bioinformatics | Issue 1/2023

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Abstract

In medical science, the tumor is a critical situation and the grounds for failing life and places a significant hurdle on medical. Predicting the extension of tumors has been of matter since the initial periods of tumor examination, and investigators have been performing to illustrate a new medical approach for tumors. The tumor is a condition reached when uncommon cells erupt from the genetic rules and are experienced limitlessly. This state forms a cell group with uncontrolled growth inside. Metastasis is when some tumor cells shift and form other tumors. The model explains that the proliferation of the tumor cells is almost constant, and cell elongation would undoubtedly be limited and expand linearly when nutrients run down. In this paper, the mathematical understanding of the reaction of tumor cells to metastasis is presented. Therefore, we explore the dynamics of tumor cell growth in different organs. This paper connects numerical computation, applied mathematics, and applications of biological scenarios.

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Metadata
Title
Mathematical model of the tumor cells’ population growth
Authors
Nishant Namdev
Himanshu Jain
Arvind Kumar Sinha
Publication date
01-12-2023
Publisher
Springer Vienna
Published in
Network Modeling Analysis in Health Informatics and Bioinformatics / Issue 1/2023
Print ISSN: 2192-6662
Electronic ISSN: 2192-6670
DOI
https://doi.org/10.1007/s13721-022-00399-7

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