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Our research aims to understand the function of DNA methylation in the biology of human CD4+ T-cells, and use this knowledge to dissect its role in disease.

WCMM at LiU focuses on the medicine-technology interface, and build upon our existing strengths in research within medical technology, materials science and bioengineering.

The aims of our research are to uncover the cellular and molecular mechanisms that predispose to systemic and long-term anti-tumor immunity and the mechanisms that drive resistance to immunotherapy.

We develop and implement medical image analysis methods using deep learning. Our medical focus areas are cancer, orthopedics and body composition analysis using multiple image and data modalities.

This project is focusing on Quantitative MRI of the brain. Quantitative MRI is a novel and promising technique for diagnose or prognose disease and to determine the choice of therapy, or to monitor the result of the chosen therapy.

The 6-year, €70 million project called BIGPICTURE, will herald a new era in pathology and take AI development in pathology to the next level: we will develop the world’s biggest repository for sharing of pathology data.

The aim of our research is to identify, validate and implement genetic markers or other biomarkers to predict drug metabolism or drug effects.

By integrating device engineering with biophysical insights, this project drives the development of smarter drug delivery systems with refined dose adjustments to push the boundaries of precision in preclinical medical sciences.

The Nucleic Acids Technologies Lab explores the use of nucleic acids as biorecognition molecules to develop highly specific and sensitive systems, with various detection modalities.