Math Can Predict Evolution of Cancer Cells
Researchers found that applied mathematics can be used to predict the evolution of different types of cancer, according to a study published on January 16, 2018.
The evolution of malignant mutations in both stem and non-stem cells were observed using a mathematical analysis known as evolutionary dynamics. Mohammad Kohandel, associate professor of applied mathematics says that the development of a specific cancer and details of its evolution can be kept on track using applied mathematics. A much deeper understanding of this disease can be obtained by integrating the research advances that were previously used in cancer biology with applied mathematics.
According to the study, division and replication of cancer cells create new cells, which differ from the original cell. This feature, in the development of cancer, has impacted in several ways. Math can also be used in predicting the behavior of cells. Apart from the treatments available, the emergence of cancer cells also can be prevented using this analysis.
Tailoring treatments will be largely affected with the implementation of this method of predicting evolution of cancer cells. Siv Sivaloganathan, professor of applied mathematics said, “It may also help avoid the drug-induced resistance known to develop in many cancers.” This mathematical approach can also be used in other areas of research such as population genetics and ecology.
This method of predicting evolution of cancer cells using applied mathematics will increase the growth of targeted cancer therapies market, as elaborated in the targeted cancer therapies market report published by Coherent Market Insights.
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