Very pleased that the Norwegian Research Council will fund our project “Intelligent systems for personalized and precise risk prediction and diagnosis of non-communicable diseases” as part of its IKTPLUSS initiative.
The aim of this project is to create computer methods for risk prediction and diagnosis of non-communicable diseases using multi-omics data, by developing, implementing and validating novel algorithms for structure learning and inference in large-scale, multi-organ causal Bayesian gene networks. The project will integrate unique multi-omics data from three Nordic studies for a proof-of-concept application in cardiovascular medicine:
- The Stockholm-Tartu Atherosclerosis Reverse Networks Engineering Task (STARNET) study
- The Age, Gene/Environment Susceptibility – Reykjavik (AGES-RS) study
- The Hordaland Health Studies (HUSK)
The project partners are: