Current funded projects


  • AI-driven analysis and knowledge transfer between multiplex and brightfield microscopy for accessible and reliable cancer diagnostics and therapy selection, AIDA project (VINNOVA through MedTech4Health project 2021-01420) (as PI)
  • Interpretable AI-based multispectral 3D-analysis of cell interrelations in cancer microenvironment for patient-specific therapy, project 2022-03580 supported by the Swedish Research Council.
  • From cancer biology to patient stratification:Interpretable AI-based multispectral 3D-analysis of cell interrelations in the cancer microenvironment, financed by Cancerfonden, project number 22 2357 Pj.
  • COMULISglobe: Multimodal Imaging across Scales in Life Sciences, project within Chan Zukerberg Initiative Advancing Imaging Through Collaborative Projects (as co-PI)
  • AI-based multiplex tissue analysis to advance diagnostics for cancer patients in the context of immunotherapy, AIDA project (VINNOVA through MedTech4Health project 2017-02447) (as co-PI)
  • OncoSpace - multispectral 3D-analysis of immune cell interaction in the lung cancer microenvironment for patient-specific cancer therapy, project within the eSSENCE graduate school (as co-PI)
  • What and Why, not just Where – More informative explanations of deep learning-based cancer diagnostics, AIDA project (VINNOVA through MedTech4Health project 2017-02447) (as co-PI)



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