112 citations
- Leipzig UniversityDE9 papers
- University of ViennaAT3 papers
- Center for Scalable Data Analytics and Artificial IntelligenceDE2 papers
- Heidelberg UniversityDE2 papers
- Max Planck Institute for MathematicsDE2 papers
- Max Planck Institute for Mathematics in the SciencesDE2 papers
- Memorial Sloan Kettering Cancer CenterUS2 papers
- National Center for Tumor DiseasesDE2 papers
- Saarland UniversityDE2 papers
- Santa Fe InstituteUS2 papers
- University Hospital HeidelbergDE2 papers
- University Hospital LeipzigDE2 papers
10 papers
Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence
Maximilian Ferle, Jonas Ader, Thomas Wiemers +7
Risk stratification is a key tool in clinical decision-making, yet current approaches often fail to translate sophisticated survival analysis into actionable clinical criteria. We…
Privacy-Preserving Multi-Center Differential Protein Abundance Analysis with FedProt
Yuliya Burankova, Miriam Abele, Mohammad Bakhtiari +28
Quantitative mass spectrometry has revolutionized proteomics by enabling simultaneous quantification of thousands of proteins. Pooling patient-derived data from multiple institutio…
Predicting Progression Events in Multiple Myeloma from Routine Blood Work
Maximilian Ferle, Nora Grieb, Markus Kreuz +5
The ability to accurately predict disease progression is paramount for optimizing multiple myeloma patient care. This study introduces a hybrid neural network architecture, combini…
Changing cell mechanics -- a precondition for malignant transformation of oral squamous carcinoma cells
Felix Meinhoevel, Roland Stange, Joerg Schnauss +3
Oral squamous cell carcinomas (OSCC) are the 6th most common cancer and the diagnosis is often belated for a curative treatment. The reliable and early differentiation between heal…
The Role of Stickiness in the Rheology of Semiflexible Polymers
Tom Golde, Martin Glaser, Cary Tutmarc +7
Semiflexible polymers form central structures in biological material. Modeling approaches usually neglect influences of polymer-specific molecular features aiming to describe semif…
Phylogenomics with Paralogs
Marc Hellmuth, Nicolas Wieseke, Marcus Lechner +3
Phylogenomics heavily relies on well-curated sequence data sets that consist, for each gene, exclusively of 1:1-orthologous. Paralogs are treated as a dangerous nuisance that has t…