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 Costea group 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

Annen presentasjon

• Youssef Wally; Basil Ell; Benjamin Ricaud et al. (2026). Biologically Informed Across Space and Time Modelling of the Tumour Microenvironment. (ekstern lenke)
• Youssef Wally; Basil Ell; Benjamin Ricaud et al. (2026). Cell Niche discovery via taxonomy-aware spatial association rule mining. (ekstern lenke)
• Youssef Wally; Johan Mylius-Kroken; Michael Kampffmeyer et al. (2025). Hyperbolic Representation Learning for Spatial Omics. (ekstern lenke)
• Youssef Wally; Johan Mylius-Kroken; Michael Kampffmeyer et al. (2025). Mutual Information Across Geometries. (ekstern lenke)
• Youssef Wally; Johan Mylius-Kroken; Michael Kampffmeyer et al. (2025). Presentation at PhD school on multi-modal learning. (ekstern lenke)

Konferanseposter

• Youssef Wally; Johan Mylius-Kroken; Michael Kampffmeyer et al. (2026). Biologically Informed Modelling of the Tumour Microenvironment: Hyperbolic Representation Learning and Hierarchical Association Rules. (ekstern lenke)
• Youssef Wally; Basil Ell; Benjamin Ricaud et al. (2026). Representing cell type hierarchies in breast cancer. (ekstern lenke)
• Youssef Wally; Basil Ell; Benjamin Ricaud et al. (2026). Cell Niche discovery via taxonomy-aware spatial association rule mining. (ekstern lenke)
• Lara Elvevåg; Youssef Wally; Benjamin Ricaud et al. (2026). Charting Cellular Networks in the Tumor Microenvironment: Graph Visualizations in Highly-Multiplexed Breast Cancer Tissue. (ekstern lenke)
• 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. (ekstern lenke)
• Youssef Wally; Johan Mylius-Kroken; Michael Kampffmeyer et al. (2025). Hyperbolic Representation Learning for Spatial Biology: Capturing Cell Type Hierarchies in Breast Cancer. (ekstern lenke)

Konferanseforedrag

• Youssef Wally; Basil Ell; Benjamin Ricaud et al. (2026). Extracting Knowledge from Spatial Biology: Evaluating Cell Type Hierarchies in Breast Cancer Imaging Data. (ekstern lenke)

Vitenskapelig artikkel

• 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. (ekstern lenke)
• Vladan Milosevic; Reidunn Jetne Edelmann; Ingeborg Winge et al. (2023). Vessel size as a marker of survival in estrogen receptor positive breast cancer. (ekstern lenke)
• Youssef Wally; Johan Mylius-Kroken; Michael Kampffmeyer et al. (2025). Flatland and Beyond: Mutual Information Across Geometries. (ekstern lenke)

Vitenskapelig litteraturgjennomgang

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

Vitenskapelig bokkapittel

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

Se en fullstendig oversikt over publikasjoner i NVA.