Author

Henrik Podéus

Linköping UniversityORCID 0000-0002-7501-4031Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 5 Organism:human· 3 Assay:imaging· 2 Organism:mouse· 1 Organism:non-human primate· 1 Organism:rat· 1

Frequent Co-Authors

Gunnar CedersundiD· 5 shared Christian SimonssoniD· 3 shared William LövforsiD· 3 shared Elin NymaniD· 2 shared Maria EngströmiD· 2 shared Nicolas SundqvistiD· 2 shared Sebastian SteniD· 2 shared Fredrik ElinderiD· 1 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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5 shared papersSystems Biology

Gunnar CedersundORCID

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5 papers

Recent·Most cited

A Mathematical Model of Dietary Lipid Absorption and Postprandial Chylomicron Dynamics

Christian Simonsson, Oscar Silfvergren, Henrik Podéus, Kajsa Tunedal, William Lövfors, Karin G. Stenkula, Elin Nyman, Gunnar Cedersund

This paper develops a mathematical model of chylomicron dynamics incorporating the second meal effect, showing it can predict postprandial lipid responses across different BMI values.

Metabolism Open · Oct 1, 2026Peer-reviewedSystems Biology

Predicting Real-life Drinking Scenarios through a Physiological Digital Twin Incorporating Secondary Alcohol Markers

Henrik Podéus, Christian Simonsson, Gerd Jakobsson, Robert Kronstrand, Elin Nyman, William Lövfors, Gunnar Cedersund

This paper develops a mathematical model integrating multiple alcohol biomarkers to reconstruct past drinking events and provides an interactive web tool for forensic analysis.

Scientific Reports · Mar 18, 2026Peer-reviewedSystems Biology

A Model-Driven Meta-Analysis Supports the Emerging Consensus View that Inhibitory Neurons Dominate BOLD-fMRI Responses

Nicolas Sundqvist, Henrik Podéus, Sebastian Sten, Maria Engström, Salvador Durá-Bernal, Gunnar Cedersund

The paper presents a model-driven meta-analysis showing inhibitory neurons dominate BOLD-fMRI responses, with excitatory neurons contributing less than 20%.

bioRxiv · Oct 15, 2024 · PreprintSystems Biology

A physiologically-based digital twin for alcohol consumption - predicting real-life drinking responses and long-term plasma PEth

Henrik Podéus, Christian Simonsson, Patrik Nasr, Mattias Ekstedt, Stergios Kechagias, Peter Lundberg, William Lövfors, Gunnar Cedersund

The paper presents a physiologically-based digital twin model that simulates real-life alcohol consumption and connects short-term drinking to long-term PEth levels, enabling personalized predictions and eHealth applications.

npj Digital Medicine · May 3, 2024Peer-reviewedSystems Biology

A multi-data based quantitative model for neurovascular coupling in the brain.

Sebastian Sten, Henrik Podéus, Nicolas Sundqvist, Fredrik Elinder, Maria Engström, Gunnar Cedersund

The paper develops a quantitative model that integrates multiple neurovascular coupling data types to predict and explain hemodynamic responses across species.

bioRxiv · Mar 25, 2021 · PreprintSystems Biology