CAI-X

AI project

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.

Aim

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

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

 

Participants

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

 

Project period

Start: October 2019

End: April 2022

Contact

Turkis firkant (dekoration)

Søren Sheikh

Prof.Dr.Med.

Department of Clinical Biochemistry and Pharmacology

(+45) 21 38 04 10
[email protected]

Turkis firkant (dekoration)

Marie-Louise Krogh

Innovation Consultant

Department of Clinical Biochemistry and Pharmacology

(+45) 50 55 84 85
[email protected]