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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.

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

Jenny Arpe’s master’s thesis at LiU presents a new method for determining the time of death using AI. For this she has now been awarded a master of science in engineering thesis prize awarded in memory of Christopher Polhem.

In collaboration with AstraZeneca, this project analyzed the mitochondrial functionality of adipocytes that have been treated to become brown.

Can we see what is happening in the brain? Yes, we can in a sense, using imaging technology. But the processes in the brain remain to a large extent mysterious. Researchers are now using modelling to help understand these processes.

Digital twins will now be tested in real health care environments, in an EU-financed project. The idea is that having a digital copy will make you follow advice from the health care better.

In the future, a digital copy of your own body – a digital twin – may help you live a healthy life. At LiU, mathematical models are being developed as tools for better health. This is the result of collaboration between experts in several fields.