Here you can read about everything that's happening in the ISB Group.
Digital twins will now be tested in real health care environments, in an EU-financed project. Gunnar is the project manager of STRATIF-AI, which has been granted SEK 65 million over a four-year period by Europe Horizon (the European Commission). The project is linked to stroke research, but the digital twins method is expected to have many different applications.
Read more about the project HERE
BME@LiU 2023 is a conference day filled with activities to highlight the research conducted at Linköping University (LiU) in the field of biomedical engineering (BME).
Biomedical Engineering, or MedTech, lies at the intersection of many of LiUs strength and strategic areas. It involves development of state-of-the-art technologies such as biosensors, medical imaging, AI, eHealth, visualization, with many applications in Life Sciences, e.g. circulatory and metabolic diseases, inflammation, neurological diseases and cancer.
BME@LiU is a day filled with activities related to the field of biomedical engineering. From invited and contributed talks, to posters, exhibitions, and mingling. These activities reach out to all researchers, companies, organizations, students and clinicians who support, contribute to, or utilize BME technologies.
If you would like to have an oral presentation, submit abstracts before March 27
BME@LiU 2023
When: April 20, 08.30 – 17.00
Where: Norra Entrén, Campus US and via Zoom
Read more and register here https://liu.se/en/research/bme-conference-2023
Welcome to MBM 2023!
We are pleased to invite you to our fourth Workshop on Modelling in Biology and Medicine (MBM 2023) on the 15-17th of May. We aim to gather all young researchers in Sweden working on modelling of biological systems. Our ambition is to give all participating PhD students and Postdocs the opportunity to present their work through an oral presentation or a poster. Further, we wish to provide an insight into how modelling in biology and medicine is practiced in academia and industry.
The workshop will be held in both plenary presentation sessions for larger talks as well as in smaller sessions for e.g. poster presentations. You can participate at MBM 2023 by
The workshop will be in-person at Linköping University, Campus US.
When: 15-17th of May 2023
Where: Linköping
Why: Bringing together young researchers in Sweden working on the border of mathematics, biology, and medicine
How: Oral presentation, poster, or as an observer
Abstract submission: https://forms.gle/jHNrg1QM6bGQhmx9A, deadline 14th of April
Register: Registration will open soon
More information: https://mbm.systemsbiology.se/
We recently published a paper detailing mechanisms of insulin signaling and type 2 diabetes at multiple levels in rat adipocytes. In this paper, we present a model that can simulate weight changes on a wholebody level, and propagate the effect of weight related insulin resistance down to the cellular and tissue level.
You find the link to the full paper HERE
Our work “A quantitative model for human neurovascular coupling with translated mechanisms from animals”, previously available at bioRxiv, has now been published in PLOS Computational Biology. In this manuscript we explore if qualitative behaviors of the Neurovascular coupling (NVC), found in different species and data sets, can be applied to the model simulations of other data. Below follows a slightly more detailed summary of the manuscript.
The neurovascular coupling (NVC) is the basis for functional magnetic resonance imaging (fMRI), since the NVC connects neural activity with the observed hemodynamic changes. This connection is highly complex, which warrants a model-based analysis. However, even though NVC-data from several species and many relevant variables are available, a mathematical model for all these data is still missing. Herein, we combine experimental data from mice, monkeys, and humans, to develop a comprehensive model for NVC. Importantly, our new approach to modelling propagates the qualitative insights from each species to the subsequent analysis of data from other species. In mice, we unravel the role of different neuronal sub-populations when producing a biphasic response to prolonged sensory stimulations. The qualitative role of these sub-populations is preserved when analysing primate data. These primate data add knowledge on the interplay between local field potential (LFP) and vascular changes. Similarly, these pre-clinical qualitative insights are propagated to analysis of human data, which contain additional insights regarding blood flow and volume in arterioles and venules, during both positive and negative responses. This work illustrates how data with complementary information from different species can be combined, so that qualitative insights from animals are preserved in the quantitative analysis of human data.
You can read the full article HERE
We are pleased to announce that our manuscript entitled “Mechanistic model for human brain metabolism and its connection to the neurovascular coupling” have recently been accepted for publication in PLoS Computational Biology. In this manuscript we present a mechanistic model for the human cerebral metabolism based on magnetic resonance spectroscopy data. We have also connected this model to our previously published model for the neurovascular coupling. Below follows a slightly more detailed summary of the manuscript.
The neurovascular and neurometabolic couplings are highly central for several clinical imaging techniques since these frequently use blood oxygenation (the BOLD signal) as a proxy for neuronal activity. This relationship is described by the highly complex neurovascular and neurometabolic couplings, which describe the balancing between increased metabolic demand and blood flow, and which involve several cell types and regulatory systems, which all change dynamically over time. While there are previous works that describe the neurovascular coupling in detail, neither we nor others have developed connections to corresponding mechanistic models for the third aspect, the metabolic aspect. Furthermore, magnetic resonance spectroscopy (MRS) data for such modelling readily is available. In this paper we present a minimal mechanistic model that can describe the metabolic response to visual stimuli. The model is trained to describe experimental data for the relative change in metabolic concentrations of several metabolites in the visual cortex during stimulation. The model is also validated against independent validation data, that was not used for model training. Finally, we also connect this metabolic model to a detailed mechanistic model of the neurovascular coupling. Showing that the model can describe both the metabolic response and a neurovascular response simultaneously.
You can find the article HERE!
When: 6th of December
Where: Granitsalen, north entrence, campus US, Linköping university
Or join on zoom: https://liu-se.zoom.us/j/63058145097
DDLS is one of Sweden’s biggest iniatives towards personalized medicine, funded by Knut and Alice Wallenberg’s foundation. We are represented in the expert committee, which oversees the creation of new calls and strategies. Via this committee, we are also arranging a symposium, on December 12, in Stockholm. There are already 150+ participants that have signed up, so don’t miss this opportunity to see the latest updates on one of the newest and most exciting research programs. There will be a session on digital twins, featuring among others Gunnar Cedersund as well as Lies Geris, from the VPH institute.
Read more about the symposium and the agenda HERE
