Proud Research Milestone

Proud moment for our team. Our PhD candidate Yaqeen Ali has published new research on explainable and fair federated learning for predicting treatment response in breast cancer, together with Julia Müller, Andreas Weinmann, and Johannes Gregori.
Using the large multicenter MAMA‑MIA DCE‑MRI dataset, the study shows that federated XGBoost models can deliver strong performance, improved fairness, and full patient‑privacy preservation—supported by SHAP‑based interpretability.
A promising step toward collaborative, trustworthy AI in medical imaging.

 Read the full article here