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A rapid, non-invasive, Clinical surveillance for CachExia, Sarcopenia, portal hypertension and hepatocellular carcinoma in End-Stage Liver Disease

Our multidisciplinary Cardiovascular Imaging and Modelling (CIM) research cluster aims to gain insight into the cardiovascular system in health and disease by development and application of novel imaging-based methods.

The division consists of three units (internal medicine, cardiovascular and radiological sciences) and contains seven subject areas within which research and teaching are conducted.

Jan Neelissen, at the department of Health, Medicine and Caring Sciences, defends her doctoral thesis with the title “Carotenoids – Exploring Links with Inflammation and Optimizing Dietary Intake". Supervisor is professor Lena Jonasson,...

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.

Advanced CT creates amazing visualization of the beating heart. However, the complex interactions of blood flow are not fully reflected by these images. This project aims to extract blood flow data from CT images using image-based simulations.

Linus Ohlsson, at the department of Health, Medicine and Caring Sciences, defends her doctoral thesis with the title “The Assisted Heart: Function and flow during left ventricular assistance". Supervisor is professor Tino Ebbers, Linköping...

Metabolic dysfunction-associated steatotic liver disease (MASLD) previously known as non-alcoholic fatty liver disease (NAFLD) is a chronic liver disease which has become the most common liver disease affecting adults and children.

Artificial Intelligence in Mammography Screening - AIM is a research program with a particular focus on clinical utility, efficiency, and implementation aspects.

CircM is a strategic research network for researchers at ¸£Àû¼§ and Region Östergötland within the research field circulation and cardio-metabolic risk factors.