Chronic Myeloid Leukemia is a type of cancer that starts in certain blood-forming cells of the bone marrow. Interferon-\(\alpha\) was once the standard front-line treatment producing remission rates of only 28.3 percent in 1991. After the highly effective drugs first became available in 2001, survival rates have increased immensely. According to the American Cancer Society, one large study of CML patients treated with a drug called imatinib found that about 90 percent of them were still alive 5 years after starting treatment. While imatinib has changed the way oncologists treat CML, remission is common after extended gaps in treatment. In this paper, we will explore the long-term dynamics of CML under treatment through the use of use of theoretical and mathematical components. We closely base our methods upon the approach of Urszula Ledzewicz and Helen Moore. We will introduce our unique model and explain component selections, while we move towards understanding the optimal interactions of imatinib and interferon-\(\alpha\) against dormant and proliferating CML cells. Our future work involving optimal control dynamics will be briefly introduced and further solutions are currently ongoing.
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The project aims to guide students and working professionals who are looking for direction towards choosing a career path, more interactively. Higher focus is laid on STEM viz. Science, Technology, Engineering and Math, and many dimensions such as future career, occupation growth, employment and wages etc. were considered for the analysis. The project emphasizes on good development practices that help its readers grasp the crux of each dimension easily, by looking at visualizations on each page. The website provides an overview of STEM work, analyzing nearly 100 occupations, including data showing selected STEM occupations with the most employment and projected job openings and growth.
Aditi Agrawal, Ankita Aggarwal, Priya Mishra