Home
Centre for Translational Epidemiology (TrEpi)
Centre for Translational Epidemiology (TrEpi)

Research goals

The primary and secondary research goals of our Centre are to Develop the novel translational framework by using large amounts of complex data from national registries and databases.

Colourbox illustration
Big data and artificial intelligence are important to develop novel translational framework.
Photo:
Colourbox.com

Main content

The primary and secondary research goals of our Centre are to: 

1. Develop the novel translational framework by:

a. Using large amounts of complex data from national registries and databases, population-based health surveys and associated biobanks with biomedical, genetic, epigenetic, and other omics data (so-called big data).

b. Advancing and applying new methods, algorithms, and software by merging approaches from epidemiology, medical statistics, biomedicine, bioinformatics, and artificial intelligence (AI).

c. Formulating, developing, and verifying causal hypotheses using approaches from the different scientific disciplines.

2. Employ the unique translational framework to:

a. Identify complex causal mechanisms underlying model NCDs in the central nervous system (CNS).

b. Identify new targets of intervention and translate these targets into novel options for primary prevention, treatment, and improved prognosis (precision public health and precision medicine).

3. Train a new generation of young scientists that will be able to further develop and apply the translational approach.

Related content