2 papers
cs.LG2025
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…
stat.AP2024
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…