Unified Network for International Cancer Advancement

Transforming European cancer screening and early detection through federated AI

Medical Data Science for Cancer Screening: Insights from Toralf Kirsten

Toralf Kirsten, Professor of Medical Data Science at Leipzig University and UNICA partner, explains how advanced data science and AI can help hospitals improve workflows, detect cancer earlier, and support clinicians in making more precise decisions. In UNICA, his team focuses on risk profiling and early detection for prostate, lung, and breast cancers, combining clinical expertise with distributed data and machine learning.