Elin Nyman

Head of Department, Associate Professor, Docent

I am Head of the Department of Biomedical Engineering (IMT) and a researcher in systems biology. I also teach and supervise students in systems biology and in E-health.

Head of Department

As head of the Department of Biomedical Engineering, I lead the department's work. Together with my colleagues, I want to create an environment characterised by mutual trust and respect where we can develop and strengthen the department together.

Research

Illustration of a person holding arms out, and a mirrored version showing internal organs.

Systems Biology

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

Integrative Systems Biology -ISB

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.

Research projects

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.

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.

An illustration with red tones. You see a human in the middle with a screen on both sides.

Knowledge Driven Drug Development

In this project, financed by VR medicine’s investment in pharmacy, the researchers are working with AstraZeneca to develop a new type of knowledge driven drug development.

Publications

2026

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

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

Education

I supervise students at bachelor's and master's level within both the Faculty of Science and Engineering and the Faculty of Medicine and Health Sciences.

I am examiner for the following courses:

News

30 April 2026

Sustainability, AI and the future of food - LiU researchers share their research

At the fair on the future of gastronomy, three LiU researchers share their research on AI on dairy farms, the role of emotions in sustainability education, and digital twins that can replace animal experiments.

En person i labbrock som håller i en flaska.

24 February 2026

AI provides a more precise time of death

Artificial intelligence can be used to provide a more precise time of death, which can be crucial in e.g. murder investigations. The AI model is trained on so-called metabolites in thousands of blood samples from real deaths.

Four people at a table look towards the camera

06 February 2024

“Got further than I could have imagined”

LiU’s interdisciplinary investment in e-health is here to stay. In a course, students from the Faculty of Medicine and Health Sciences are working together with students from the Faculty of Science and Engineering to develop digital solutions.

Organisation

Department of Biomedical Engineering (IMT)

A national centre for research, PhD studies and graduate studies within biomedical engineering, since 1972.

A monitor displaying health data for a patient.

Division of Biomedical Engineering (MT)

A division for research, education and innovation within the field of biomedical engineering.