Review on the mathematical modeling of cancer

The goal of this project is to produce a meta-review analysis focused on the field of the mathematical modeling of cancer. Mathematical modeling of cancer is a large field that is made from different communities ranging from computational scientists, applied mathematicians, biophysicists, and more. Having a wide range of research is required as cancer is complex surrounding several different diseases with many mathematical methods proposed to approach these large areas to cover in cancer. This research was to conduct a survey of surveys from the analysis of many literature review papers from the communities for mathematical modeling of cancer. For the analysis an extensive list of supporting review literature was gathered to assist in looking for overlap and disjoint activities within the communities. While reading the literature can bring a depth of knowledge of the field as a whole, looking into aspects of the papers like keywords authorship, and citations can help to reveal more dynamics about the community. Using different graphs of networks from these things such as keywords can show how connected or disjoint aspects of the community have been over time. The research purpose helps to describe the different research communities for this broad and important topic while also looking at the scholarly production of the field, various approaches that are proposed, and how the community has evolved over time. The overall effect of the research can help bring communities together and ideas which can help advance the field for the mathematical modeling of cancer.Presented at the annual Celebration of Undergraduate Research and Creative Activity while the author was an undergraduate student at Rutgers University-Camden