Karin Rodland

This study detects melanoma using serum proteome profiling and machine learning, identifying eight protein biomarkers with high diagnostic accuracy.

The paper develops a spatial proteomics method to map the human pancreatic islet microenvironment and identifies spatial gradients in RNA processing proteins.

The paper predicts ex vivo drug sensitivity in AML patients using proteomic and phosphoproteomic signatures, showing better accuracy than mutation or mRNA-based signatures.