Computational Pathology @
The Netherlands Cancer Institute


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Our approach



Computational Pathology





Our team focuses on the development of “Computational Pathology” approaches that combines clinical, pathology and genomics data with image analysis of the tumor to find the balance between over- and under-treatment of women's ovarian and breast cancer. We train powerful computers to recognise tumor and their microenvironment by annotating pathology samples from the clinic.



Image Analysis





We analyse different regions within tumor samples from time of diagnosis, relapse and metastasis and combine it with data describing RNA, DNA and protein sequences of single cells to study the impact of intra-tumor heterogeneity upon cancer immunity and progression.


Combining these image-based quantitative results with genomic analysis of the cancer-immune interactions can be complementary to identity biomarkers for prediction of treatment response to empower precision oncology.


To help the Right person to get the Right treatment at the Right time.



Learn more how we identify biomarkers for prediction of treatment response



Immunotherapy




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Targeted Therapy




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Chemotherapy




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