Research
Vladan has a PhD in molecular medicine from the University of Turin, Italy, where he investigated the potential role of malignant pleural mesotheliomastem cells in the development of the chemo resistant and immuneresistant phenotype of this highly aggressive tumor. He is currently a researcher in the Östman and Akslen groups, aiming to identify novel biomarkers and therapeutic targets of aggressive breast cancer through high-multiplex profiling of the tumor microenvironment using the Hyperion Imaging Mass Cytometry platform.
Teaching
CCBIO901
CCBIO905
Publications
Academic literature review
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
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 Cristin.
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