 Machine learning, ML, techniques have been increasingly used in cancer research to develop predictive models for cancer progression and patient outcomes. Recent studies have shown that these techniques can accurately identify key features from large datasets and provide valuable insights into the progression of cancerous conditions. Furthermore, they can also be used to accurately predict patient outcomes and thus assist in the clinical management of cancer patients. This article was authored by Konstantino Kuru, Themis PxRCoS, Konstantino's PxRCoS, and others.