Cancer is a disease that affects millions of people worldwide. According to the World Health Organization (WHO), cancer is the second leading cause of death globally, after cardiovascular diseases. In 2018, about 9.6 million deaths were reported due to cancer. The WHO estimates that over 1.8 million people died from cancer in 2017. The number of new cases of cancer is expected to increase by 70% between 2015 and 2030.

The next generation of cancer therapies may be discovered by melding data science technologies with cancer research. It can be used to speed up research, provide additional insights and therapeutic alternatives, and eventually improve patient care. Cloud computing provides almost infinite resources for storing, analyzing, and displaying data. Genomic databases can be analyzed without a local infrastructure to house the enormous data volumes. Since machine learning relies on a huge number of samples, the cloud can support it by enabling access to big data sets from many sources.