Cancer and AI Solutions

According to the World Cancer Day the key cancer facts are that 10 million people die from cancer every year, at least one third of common cancers are preventable, cancer is the second-leading cause of death worldwide, 70% of cancer deaths occur in low-to-middle income countries, millions of lives could be saved each year by implementing strategies for prevention, early detection and treatment, and the total annual economic cost of cancer is estimated at $ 1.16 trillion. For all the above reasons, AI and ML techniques are breaking into cancer research and oncology, where the potential applications are vast, and include early detection and diagnosis of cancer, subtype classification of cancer, optimisation of cancer treatment and identification of new therapeutic targets. In particular, AI is predicted to change cancer health care by advancing clinical research and drug development. And besides cutting costs, improving trial quality and reducing trial times by almost half, AI is predicted to find novel cancer biomarkers and gene signatures, recruit eligible clinical trial patients in minutes and read volumes of text in seconds. Moreover, breakthrough discoveries involving new diagnostic tools for cancer have seen AI as a major player. The phrase "prevention is better than cure" is often attributed to the Dutch philosopher Desiderius Erasmus in around 1500, but prevention is now synonym to "it's cheaper too", since preventing future illnesses and complications is vital to the future sustainability of health systems and households as well.