top of page

For Researchers

The FinRegistry project leverages nationwide health and socio-demographic registry data to explore comprehensive risk trajectories and uses this information to develop statistical and machine learning models to predict disease occurrences from registry data. 

​

This project will use the complex relationship between health outcomes, medications, socio-demographic information, and familial risk to provide new epidemiological and biological hypotheses that can then be directly followed up with more targeted studies.​

​​

Results of this study can support future research to develop personalized health care based on disease-specific prediction models.

We are welcoming collaborations!

Want to collaborate?

​

If your research project is within the scope of our proposal, contact us! 

​

Otherwise, considering applying to registry data via Findata.

​

THL_tunnus_pitka_EN_RGB.png
FiMM_HiLIFE_UNIT_rgb_black.png
flag_yellow_high.jpg
LOGO_ERC.jpg

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 945733), starting grant AI-Prevent.

bottom of page