Integrative Systems Biology - ISB

Research group for Integrative systems biology (ISB) at Linköping University.

In the integrative systems biology group we aim towards being the world leading group in the unravelling of systems-level mechanistic insights, using inter-connected M4 models for decision support in pharma and P4 medicine – thereby making a positive change in society.

We do modelling in collaboration with a large number of experimental groups, focusing on different biological systems. In these projects, our collaborators serve as the biological experts, and we are the experts on the modelling. This means that our collaborators do not need to have extensive knowledge about modelling.

We are currently working on modelling of e.g. insulin signalling and lipolysis in adipocytes; nutrient fluxes on a whole-body scale; interpretation of fMRI signals in brain, and quantification of liver- and heart-diseases using MRI; modelling as an aid for improved drug development; and modelling to replace animal experiments.

In the systems biology group, we are constantly looking for new collaborations; be it students for internships, experimentalists for new projects or companies for making our insights of use for the public. Feel free to contact us if you want to know more!

Current research projects

Publications

2026

Alejandro Garcia-Rudolph, Rocio Sanchez-Carrion, Katryna Cisek, Thi Nguyet Que Nguyen, Claudia Teixido-Font, Eloy Opisso, Rory O'Connor, Gelu Onose, Gunnar Cedersund (2026) Incomplete Cognitive Assessment in Post-Acute Stroke Rehabilitation: Recovering Clinically Interpretable Relationships from Routine Neuropsychological Data NeuroRehabilitation (Article in journal) https://dx.doi.org/10.1177/10538135261464181
Elin Nyman, Rasmus Magnusson, Tomas Strömberg, Carl Johan Östgren, Sara Bergstrand, Hanna Jonasson (2026) Sex differences in microvascular patterns associated with low- and high-risk for cardiovascular disease Biology of Sex Differences, Vol. 17, Article 138 (Article in journal) https://dx.doi.org/10.1186/s13293-026-00955-0
Gustav Magnusson, Alex A Bhogal, Charalampos Georgiopoulos, Gunnar Cedersund, Lovisa Tobieson, Maria Engström, Anders Tisell (2026) How processing choices effect repeatability in BOLD-CVR imaging Journal of Cerebral Blood Flow and Metabolism (Article in journal) https://dx.doi.org/10.1177/0271678X261420026
Ralph E. C. Monte, Rasmus Magnusson, Carl Soderberg, Henrik Green, Albert Elmsjo, Elin Nyman (2026) Detecting and subtyping ketoacidosis from metabolomic patterns in forensic casework Scientific Reports, Vol. 16, Article 11607 (Article in journal) https://dx.doi.org/10.1038/s41598-026-45073-4
Henrik Podéus Derelöv, Christian Simonsson, Gerd Jakobsson, Robert Kronstrand, Elin Nyman, William Lövfors, Gunnar Cedersund (2026) A digital twin framework for forensic reconstruction of alcohol intake via fast and slow metabolite kinetics Scientific Reports, Vol. 16, Article 9336 (Article in journal) https://dx.doi.org/10.1038/s41598-026-44093-4
Rasmus Magnusson, Carl Soderberg, Liam Ward, Jenny Arpe, Fredrik Kugelberg, Albert Elmsjö, Henrik Green, Elin Nyman (2026) The human metabolome and machine learning improves predictions of the post-mortem interval Nature Communications, Vol. 17, Article 1504 (Article in journal) https://dx.doi.org/10.1038/s41467-026-69158-w

2025

Nilmini Wickramasinghe, Nalika Ulapane, Yuxin Zhang, Paul Jansons, Gunnar Cedersund, Ralph Maddison (2025) Time Series Models of the Human Heart in Patients with Heart Failure: Toward a Digital Twin Approach Sensors, Vol. 26, Article 82 (Article in journal) https://dx.doi.org/10.3390/s26010082
Kajsa Tunedal, Tino Ebbers, Gunnar Cedersund (2025) Uncertainty in cardiovascular digital twins despite non-normal errors in 4D flow MRI: Identifying reliable biomarkers such as ventricular relaxation rate Computers in Biology and Medicine, Vol. 188, Article 109878 (Article in journal) https://dx.doi.org/10.1016/j.compbiomed.2025.109878
Alejandro Garcia-Rudolph, Mark Andrew Wright, Claudia Teixido-Font, Rocio Sanchez-Carrion, Gunnar Cedersund, Eloy Opisso (2025) Digital twins in stroke rehabilitation: a scoping review of objectives, data sources, mechanisms, outcomes, and desirable properties Topics in Stroke Rehabilitation (Article, review/survey) https://dx.doi.org/10.1080/10749357.2025.2584031
Nicolas Sundqvist, Henrik Podéus, Sebastian Sten, Maria Engström, Salvador Dura-Bernal, Gunnar Cedersund (2025) Model-driven meta-analysis establishes a new consensus view: Inhibitory neurons dominate BOLD-fMRI responses Computers in Biology and Medicine, Vol. 197, Article 111014 (Article in journal) https://dx.doi.org/10.1016/j.compbiomed.2025.111014

Latest student publications

Research group

Organisation