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Drawing on skills in biology, computer science, information engineering and statistics, researchers in this field specialise in developing new tools and algorithms to interpret high-throughput-high-content genome-wide or single-cell experiments. This seeks to address how tumours evolve and react to environmental changes. As the costs of these investigations continue to fall with advancing technology, the volume of available data grows, driving the need for standardised and efficient analytical platforms. By introducing AI-based approaches, researchers are able to both guide clinical decision making and lead the discovery of fundamental molecular processes in cancer biology through the integration and statistical analysis of new and publicly available data.