• Cross-population evaluation of cervical cancer risk prediction algorithms 

      Elvatun, Severin; Knoors, Daan; Nygård, Mari Kiens; Uusküla, Anneli; Võrk, Andres; Nygård, Jan Franz (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-24)
      Background - Cervical cancer is a preventable disease, despite being one of the most common types of female cancers worldwide. Integrating existing programs for cervical cancer screening with personalized risk prediction algorithms can improve population-level cancer prevention by enabling more targeted screening and contrive preventive healthcare innovations. While algorithms developed for cervical ...