Teaching an algorithm to identify cancer from sequence data

Deep learning has revolutionised cancer research. Deep neural networks can automatically detect features within a patient’s sample data that can be used to identify cancers. In the future, learning algorithms will be able to identify potential early-stage cancers from a blood sample. Esa Pitkänen and his research group at the Institute for Molecular Medicine Finland (FIMM) are developing a new generation of deep-learning algorithms.