Vladan Milosevic is a medical doctor holding a PhD in molecular medicine from the University of Turin, Italy, where he investigated the potential role of malignant pleural mesothelioma stem cells in the development of chemoresistant and immunoresistant phenotype of this highly aggressive tumour. After completing his PhD, he held a postdoctoral fellowship in Christoph Klein's group at the Chair of Experimental Medicine and Therapy Research, University of Regensburg. During his two-year postdoc in Regensburg, Vladan focused on minimal residual disease in breast cancer patients and studied the role of disseminated cancer cells in the onset of metastasis.  

He is currently a researcher in the Östman and Costea groups at the Department of Clinical Medicine, University of Bergen, aiming to identify novel biomarkers and therapeutic targets of aggressive breast cancer through high-multiplexed profiling of the tumour microenvironment using the Hyperion imaging mass cytometry platform.

OD2PATIM

CCBIO905

Academic literature review

• Vladan Milosevic (2023). Different approaches to Imaging Mass Cytometry data analysis. (external link)
• Vladan Milosevic; Arne Östman (2024). Interactions between cancer-associated fibroblasts and T-cells: functional crosstalk with targeting and biomarker potential. (external link)

Academic article

• Vladan Milosevic; Reidunn Jetne Edelmann; Ingeborg Winge et al. (2023). Vessel size as a marker of survival in estrogen receptor positive breast cancer. (external link)
• Hanna Røgenes; Kenneth Finne; Ingeborg Winge et al. (2024). Development of 42 marker panel for in-depth study of cancer associated fibroblast niches in breast cancer using imaging mass cytometry. (external link)
• Youssef Wally; Johan Mylius-Kroken; Michael Kampffmeyer et al. (2025). Flatland and Beyond: Mutual Information Across Geometries. (external link)

Academic book chapter

• Vladan Milosevic; Reidunn Jetne Edelmann; Johanna Hol Fosse et al. (2022). Molecular Phenotypes of Endothelial Cells in Malignant Tumors. (external link)

Other presentation

• Youssef Wally; Johan Mylius-Kroken; Michael Kampffmeyer et al. (2025). Mutual Information Across Geometries. (external link)
• Youssef Wally; Johan Mylius-Kroken; Michael Kampffmeyer et al. (2025). Presentation at PhD school on multi-modal learning. (external link)
• Youssef Wally; Johan Mylius-Kroken; Michael Kampffmeyer et al. (2025). Hyperbolic Representation Learning for Spatial Omics. (external link)

Conference poster

• Lara Elvevåg; Youssef Wally; Benjamin Ricaud et al. (2026). Charting Cellular Networks in the Tumor Microenvironment: Graph Visualizations in Highly-Multiplexed Breast Cancer Tissue. (external link)
• Youssef Wally; Johan Mylius-Kroken; Michael Kampffmeyer et al. (2026). Hyperbolic Representation Learning for Spatial Biology: Evaluating Cell Type Hierarchies in Breast Cancer Imaging Data. (external link)
• Youssef Wally; Johan Mylius-Kroken; Michael Kampffmeyer et al. (2025). Hyperbolic Representation Learning for Spatial Biology: Capturing Cell Type Hierarchies in Breast Cancer. (external link)

See a complete overview of publications in NVA.

Vladan Milosevic, Different approaches to Imaging Mass Cytometry data analysis, Bioinformatics Advances, Volume 3, Issue 1, 2023, vbad046, https://doi.org/10.1093/bioadv/vbad046