Published July 11, 2023
| Version v1
Journal article
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Teaching an algorithm to identify cancer from sequence data
Description
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.
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Additional details
Funding
- ELIXIR - A distributed infrastructure for life-science information 319968
- Academy of Finland