Author

Håkan Örman

Linköping UniversityORCID 0000-0002-0739-1572Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Catalina Martínez-CostaiD· 1 shared Elizabeth HunteriD· 1 shared Francisco Abad-NavarroiD· 1 shared Gunnar CedersundiD· 1 shared John D. KelleheriD· 1 shared Julia AmanniD· 1 shared Kajsa TunedaliD· 1 shared Tilda HerrgårdhiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperSystems Biology

Catalina Martínez-CostaORCID

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1 paper

Recent·Most cited

Digital twins and hybrid modelling for simulation of physiological variables and stroke risk

Tilda Herrgårdh, Elizabeth Hunter, Kajsa Tunedal, Håkan Örman, Julia Amann, Francisco Abad-Navarro, Catalina Martínez-Costa, John D. Kelleher, Gunnar Cedersund

This paper presents a hybrid digital twin model combining mechanistic and machine learning approaches to simulate ischemic stroke risk based on physiological factors over time.

bioRxiv · Mar 25, 2022 · PreprintSystems Biology