At the end of 2019 a novel virus -later called SARS-CoV-19- began circulating in the Chinese area of Wuhan, causing a few months later the COVID-19 pandemic. The new disease, which causes severe pneumonia, stirred up problems to the health system of many countries, with hospitals overcrowded with people not receiving the necessary care due to the limited number of respiratory machines. Having spared in the entire globe, the disease captured the attention of all sort of scientists. In the domain of machine learning, researchers applied their knowledge in imaging diagnosis, in therapeutic goal (to study possible usable drugs among some already available on the market), and also in forecasting methods, to know in advance the number of future diseased people.