Cancer is the world's second leading cause of death, claiming nearly 10 million lives annually according to the WHO. Investing in preventative cancer treatment is therefore crucial as it reduces incidences, cuts healthcare costs, and saves lives.

Using machine learning in cancer treatment enables precise insights into therapy efficiency by analysing vast datasets, ultimately enhancing patient outcomes and healthcare efficiency.