Skip to primary content

AI for prediction of prostate cancer progression

Prostate cancer is the most common form of cancer in men, and it has great impact on the lives of the patients and their relatives.

Project period

Start: October 2019
End: December 2023


The project used machine learning to analyse big data from previous medical history, including diagnosis codes, biochemical laboratory results and medical registration to find signals to distinguish who would get metastasis among men with prostate cancer.

The project used a range of data sets, including text mining of data from medical records –  using 15 years of data when accessible.


  • Department of Clinical Biochemistry and Pharmacology, OUH 
  • Department of Urology, OUH
  • Applied Data & AI Science, The Maersk Mc-Kinney Moller Institute, SDU 
  • Research Unit of General Practice, SDU 
  • Brunak Group, University of Copenhagen

Søren Paludan Sheikh

Professor, MD

Odense University Hospital, Department of Clinical Biochemistry

(+45) 2138 0410

Marie-Louise Krogh

Senior Project Manager

Odense University Hospital, Department of Clinical Biochemistry

(+45) 5055 8485