Utilization of Iterative Method for Estimating Cancer Growth Rate

Disease such as cancer and parameter estimation methods are major concerns in the field of medicine. Understanding the pace at which cancer spreads is essential for gaining insights into the disease's progression and devising effective treatment strategies. Cancer growth rates differ widely among individuals and types of cancer, emphasizing the need for thorough study and analysis in this area. Researchers can enhance the precision of cancer growth rate estimates and, consequently, advance the comprehension of the disease and refine treatment options for patients by employing the Newton Raphson iterative method. The Newton Raphson iterative method which is a numerical approach, can be employed to estimate cancer growth rates more precisely. Its application in determining cancer growth rate has become a pivotal tool in contemporary medical research. This potent mathematical approach enables researchers to analyze intricate nonlinear growth functions and derive precise estimations of cancer growth rates. The study aims to assess how effective Newton Raphson iterative methods can be applied to determine cancer growth rates. This gives researchers a detailed grasp of the evolution of cancer and a reliable and effective way to estimate growth rates. Researchers can overcome limitations present in traditional analytical methods by employing this method, leading to more accurate and dependable estimates of cancer growth rates. It is useful for more than just analyzing numbers; it plays a crucial role in understanding the complex workings of cancer cells, which leads to better treatment plans and happier patients.