Computational Biology group develops algorithms and computational models to address biomedical research problems. The group’s aim is to uncover the molecular basis of human cancers and to generate new avenues for treatment and diagnostics. To reach this goal we integrate both experimental and computational expertise within our research group.

Latest News

Our latest article on staining supervised deep learning for epithelial cell masking in breast cancers out now @IEEE_TMI
-staining supervised DL: no manual annotation work!
-AI-based virtual staining replaces cytokeratin labeling
-check out:

In our latest blog post @SannaEpi from @CancerRegFi discusses the how and why #colorectalcancer incidences in Finland have changed, and how to improve the situation

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