Systems Biology

Illustration of a person holding arms out, and a reflection of the illustration showing inner organs.

By combining mathematical models, prior knowledge, and experimental data, we unravel biological mechanisms and contribute to the development of new drugs and clinical tools.

The field of systems biology arose as a response to the need for new tools for analyzing large scale data, in combination with the growing insight that biology can not be fully understood by simply studying the individual components, but needs to be understood at the systems level. For example, a cell can not be understood by simply studying its proteins, metabolites, etc in a test tube; these need to be understood in the dynamic biological interplay of the living cell. We describe and test this understanding by formulating mathematical models. These models are formulated based on hypotheses regarding how the system works, and is tested and refined by comparing the model predictions to experimental data.

Research groups

Research projects

Blurry illustration, silhouette of a head in blue monochrome tones.

STRATIF-AI – Digital twins for stroke

The STRATIF-AI project is about continuous stratification for improved prevention, treatment, and rehabilitation of stroke patients using digital twins and AI. It is a four-year research project funded by Horizon Europe.

Black background. You see several

M4-health: the basis for general AI in health care

In the VR funded project “M4-health: the basis for general AI in health care” we make way for a more general and flexible type of AI in health care.

 Illustration of how the stomach works and how it handles fats and carbohydrates.

Robust, Realistic and Reliable Measurements of Metabolism

New measuring techniques have always been one of the most important driving forces for medical development. The methods developed in this project could allow us to look further into the body: into the highly detailed metabolism of the human cells.

Contact person