Dorothea Rutishauser

This paper identifies plasma proteomic biomarkers for diagnosing and prognosticating clear cell renal cell carcinoma through longitudinal mass spectrometry profiling.

This study uses AI-based image analysis and multi-omics profiling to link morphological features with molecular changes in ccRCC, identifying unique molecular profiles in aggressive rhabdoid tumors.

The paper investigates how genomic alterations affect molecular networks in prostate cancer by integrating genomic, transcriptomic, and proteomic data from 105 samples, identifying a sub-network predictive of tumor aggressiveness and recurrence.