Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets. - Mika Murtojärvi; Anni S. Halkola; Antti Airola; Teemu D. Laajala; Tuomas Mirtti; Tero Aittokallio; Tapio Pahikkala (Int. J. Medical Informatics, 2020)

OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer. - Anni S. Halkola; Kaisa Joki; Tuomas Mirtti; Marko M. Mäkelä; Tero Aittokallio; Teemu D. Laajala (PLoS Comput. Biol., 2023)