The incidence of kidney cancer is increasing and it could be counteracted with new ways to predict and detect it. Our work has the aim to implement an artificial neural network in order to predict the new cases of renal cell carcinoma in the population starting from population rate, obesity, smoking incidence, uncontrolled hypertension, and life expectancy data in the USA.