Welcome!

This page acts as a landing page for all projects or other activities at Steno Aarhus that are hosted on GitHub.

These pages are targeted to researchers, PhD students, and external collaborators at Steno Aarhus. If you are looking for information about the Steno Diabetes Center Aarhus that is aimed at the general public, please visit the Steno Diabetes Center Aarhus website.

Resources

These are websites that contain resources or documentation for doing things at Steno Aarhus.

registers-project-database

SDCA’s project database on Denmark Statistics

research

Documentation on common research activities done within Steno Diabetes Center Aarhus.

ukbAid

Aid researchers who work on the UKB RAP.

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Groups

These are websites for topic-specific groups that run events or activities as well as providing a space to get help and having discussions.

epi

Content, events, discussions and information for those doing epidemiology at Steno Aarhus.

epi-stats

A space for discussions and events for statistics in epidemiology.

register-space

A space for peer support for those doing research on the Danish registers

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Projects

These are larger projects that span several years that researchers have individual research projects on.

cgm-ap

National afprøvning af glukosesensorer til type 2-diabetes: Afprøvning af sensorer i almen praksis

darter-project

Denmark Statistics registers for the project: Interplay between diabetes and intergenerational transmission of health determinants over the life course

evakom

Effektevaluering af kommunale sundhedstilbud til borgere med Type 2-Diabetes

internationalization

Building greater connection with Latin America and Steno Aarhus.

prodiap

PRODIAP: Diabetes spørgeskema til personer med type 2-diabetes i almen praksis

steno-free

Et projekt med fokus på tidlig emplementering af teknolgi til voksne med nykonstateret type 1 diabetes.

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Research Projects

These are individual research projects, most of which don’t have their own website. Rather, this points to the GitHub repository for the project.

lega

Substituting meat, poultry, and fish with legumes and risk of gallbladder diseases in the UK Biobank

legliv

Substitution of red meat with legumes and risk of primary liver cancer in UK Biobank participants: A prospective cohort study

leha

Legume consumption and hepatobiliary disease in the UK Biobank.

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Software

These are software projects developed by those at Steno Aarhus.

osdc

Open-Source Diabetes Classifier: an R package to classify diabetes status in Danish registers

ukbAid

Aid researchers who work on the UKB RAP.

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Events

These are websites for events that are either upcoming or have already been completed.

IDEG-mediation-course

IDEG 2025 workshop on Mediation Analysis and Directed Acyclic Graphs

diabetes-demography-seminar

Aarhus Diabetes Demography Symposium 2025

mediation-analysis-course

Modern mediation analysis for basic, clinical and epidemiological research in diabetes and endocrinology

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External projects

Note

Is your project not listed here? Let us know by opening an issue and giving us the link to your project!

DP-Next

DP-Next is a project aimed at developing a sustainably effective strategy for prevention of Type 2 Diabetes in Denmark, Greenland and the Faroe Islands.

ON-LiMiT

ON LiMiT (Optimal Non-pharmacological LifeStyle Modifications in people with Type 2 diabetes), is a large randomized controlled intervention study, conducted in collaboration with the Steno Diabetes Centre in Aarhus, Odense and Copenhagen, as well as the University of Copenhagen and Bispebjerg Hospital. The trial aims to investigate whether it is possible to achieve and maintain remission of type 2 diabetes through weight loss and lifestyle changes.

Seedcase Project

The Seedcase Project builds software that will support you in structuring and documenting your data, being able to browse and share it, to tending to projects using the data.

External groups

Machine learning with a clinical purpose

This is an interdisciplinary researcher group in machine learning and clinical prediction at Steno Diabetes Center Aarhus, affiliated to the Department of Public Health at Aarhus University, Denmark. We share a passion for data science and believe that applying machine learning methods to multimodal data from epidemiological cohorts and the healthcare sector can provide clinical insights and more comprehensive profiling of disease risk.