Aims

  • We aim to develop artificial intelligence (AI) based models to identify patients with breast cancer that may be eligible for therapy (de)escalation.
  • We aim to develop and validate AI for application in kidney transplant diagnostics.
  • We aim to develop and validate AI for application in gynecological oncology, e.g. vulvar pre-malignancies.
  • We aim to implement AI into Pathology workflows and study the added value for pathologists, clinicians and patients.


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Research Research groups Computational pathology

About

We aim to develop, validate and implement artificial intelligence to support pathology diagnostics. Therewith, we aim to improve current diagnostic practice, making it more efficient and consistent while offering more accurate information to clinicians to support treatment planning.

Research group leader

prof. dr. Jeroen van der Laak

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Publications

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Publications

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