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Lund University Diabetes Centre (LUDC) is led by a governing board. The governing board includes all the principal investigators at LUDC. Allan Vaag, Coordinator of LUDC and EXODIAB, and Lena Eliasson, Vice Coordinator of LUDC and EXODIAB, handle the daily operations at LUDC. The centre is led by a governing board that includes all the principal investigators at LUDC.The strategic research area EX
https://www.ludc.lu.se/ludc/organisation - 2025-10-03
Department of Clinical Sciences Malmö Head: Martin Ridderstråle The prevalence of obesity and type 2 diabetes (T2DM) is increasing worldwide. Although our therapeutic arsenal to beget these conditions and their consequences in the form of cardiovascular morbidity and mortality is increasing a lot still needs to be learned about the underlying mechanisms. This project deals with clinical care and t
https://www.ludc.lu.se/research-0/clinical-obesity - 2025-10-03
Leaders of work package 7: Jan Nilsson and Olle Melander This work package focuses on diabetes-driven cardiovascular disease (CVD). The mild age-related diabetes (MARD) cluster, together with the mild obesity-related diabetes (MOD) and the severe insulin-resistant diabetes (SIRD) has the highest risk of developing CVD.Central to the studies in this work package are a number of well-characterised c
https://www.ludc.lu.se/ludc-irc/mild-age-related-diabetes-mard-mechanisms-and-pathways - 2025-10-03
News from the Innovation Office.
https://www.ludc.lu.se/newsletters - 2025-10-03
Leaders of work package 5: Ola Hansson and Eva Degerman SIRD is a novel form of diabetes representing the most insulin resistant (both hepatic and peripheral) form, with most features of the metabolic syndrome but also hepatic steatosis. In this work-package we explore mechanisms and pathways relevant to insulin resistance in various organs and tissues, such as liver, adipose tissue, kidney, skele
https://www.ludc.lu.se/ludc-irc/severe-insulin-resistant-diabetes-sird-mechanisms-and-pathways - 2025-10-03
Leaders of work package 1: Emma Ahlqvist and Dmytro Kryvokhyzha One of the main resources to the LUDC-IRC is the access to large well-phenotyped cohorts, which can be linked to information from the public health care system. Central to the LUDC-IRC work is the exploitation of the more refined diabetes classification, which will help us more systematically search for pathogenic mechanisms underlyin
https://www.ludc.lu.se/ludc-irc/data-harmonisation-and-integration - 2025-10-03
Leaders of work package 8: Gustav Smith and Andreas Edsfeldt LUDC-IRC takes advantage of the accumulated expertise of investigators and resources available to conduct recall trials based on pathogenetically relevant biomarkers or genotypes or based upon subtype of diabetes.Work package 8 has access to unique, large-scale clinical cohorts that include patients with diabetes and diabetes-associated
https://www.ludc.lu.se/ludc-irc/clinical-validation-randomised-trials-and-interventions - 2025-10-03
Head: Ola Hansson Our research interest is to understand how genetic variation influences skeletal muscle function and whole-body metabolism. We use translational approaches and regularly conduct focused intervention studies in humans, including skeletal muscle biopsies. From the biopsies, muscle stem cells (satellite cells) are isolated and later used for preclinical measurements. In our projects
https://www.ludc.lu.se/research/ola-hansson - 2025-10-03
Albert Salehi’s group The etiology of metabolic syndrome and type 2 diabetes is complex and involves the interaction between both genetic and environmental factors including nutritional state with consequent metabolic signals. There are currently no clinical treatments to prevent, reverse, or efficiently cure the progression of rapid beta-cell demise or insulin resistance in diabetes-prone individ
https://www.ludc.lu.se/research/islet-cell-physiology - 2025-10-03
Head: Karin Stenkula My research group is focused on experimental cell biology research within the diabetes and obesity field. The overall purpose of our research is to explore both normal adipose cell function and the cellular mechanisms causing impaired glucose- and lipid metabolism associated with insulin resistance and type 2 diabetes. At a single cell level, we have shown that the GLUT4 trans
https://www.ludc.lu.se/glucose-transport-and-protein-trafficking - 2025-10-03
Leaders for work package 6: Nils Wierup, Cecilia Holm, and Olga Göransson The mild obesity-related diabetes (MOD) cluster includes the most obese but not the most insulin resistant individuals. Obesity is a common risk factor for type 2 diabetes and its complications. This work package explores the differences between metabolically healthy and unhealthy obesity and focuses on elucidating the mecha
https://www.ludc.lu.se/ludc-irc/mild-obesity-related-diabetes-mod-mechanisms-and-pathways - 2025-10-03
Lund University Breast Cancer Imaging Group LUCI - Lund University Breast Cancer Imaging Group CONTACT Professor Sophia Zackrisson sophia [dot] zackrisson [at] med [dot] lu [dot] se Visiting addressDepartment of translational medicine, Diagnostic Radiology, Lund UniversityCarl Bertil Laurells gata 9205 02 Malmö
https://www.luci.lu.se/en/luci - 2025-10-03
In the project I am involved with we are trying to simulate breast and breast cancer tumours. The simulations can assist and support clinical research, by predicting treatment plans and diagnostic tools in breast cancer screening. In addition, we try to assess the growth rate of tumours in women in Sweden, in order to identify which tumours that are less aggressive and where unnecessary interventi
LUCI- Lund University breast Cancer Imaging group – is an interdisciplinary research group with members covering expert areas in diagnostic radiology, radiography, medical radiation physics and engineering. Cancer imaging is a growing field with screening programs for secondary prevention through early detection and advances in therapeutics as key drivers. Since primary prevention strategies are l
https://www.luci.lu.se/en/about-us - 2025-10-03
The idea in this project is that malignant tumours can be distinguished from benign lesions and normal tissue using "mechanical imaging". Mechanical imaging of the breast is done by measuring the stress at the breast surface as the breast is compressed. Malignant tumours are generally stiffer than normal, benign breast tissue and will result in a higher stress at the breast surface. Knowing which
My research embraces a broad range of research projects for the development of person-centered radiography in medical imaging. The projects focus on the individual's perspective in health care and covers areas as follows: 1) evaluation of patient-reported outcomes in cancer screening, 2) development and validation of person-centered decision aids in cancer screening, 3) investigation of psychometr
https://www.luci.lu.se/en/person-centered-radiography-medical-imaging-and-cancer-screening - 2025-10-03
In a pioneering project, we are using pressure sensors to investigate and improve breast imaging. Mechanical imaging can be described as using pressure sensors to investigate the surface pressure of a compressed object. From the surface pressure, or stress, the local stiffness can be estimated. This is both useful and convenient in breast imaging: the breast is compressed during mammography, and b
https://www.luci.lu.se/en/breast-mechanical-imaging - 2025-10-03
With a unique database of images we are investigating the use of artificial intelligence in breast imaging. Progress in Artificial Intelligence – AI – is rapid in many medical fields. In breast imaging, AI has mainly been used to improve CAD – computer assisted detection. Traditional CAD indicates suspicious areas on the mammogram, but is ineffective in screening as excessive marks distract reader
https://www.luci.lu.se/en/artificial-intelligence-breast-imaging - 2025-10-03
My name is Ann-Sofi Sjöqvist, and I am a registered radiographer, MSc and doctoral student. I work in Malmö at the Department of Medical Imaging and Physiology Skåne university Hospital and have been working with MRI since 2004. Between 2007 and 2011 I worked at Hvidovre Hospital in Denmark at the DRCMR department and there is where my research interest awoke. In Denmark I enrolled for a master pr
Women with high breast density have an increased risk of breast cancer. At the same time is mammography less effective in finding an existing cancer in these dense breasts. Mammography creates a 2D image of a 3D structure which has the potential to result in superimposing tissue, hiding lesions of interest. Tomosynthesis is an upcoming method for 3D screening with the potential of improving the ef
https://www.luci.lu.se/en/individualized-breast-cancer-screening-tomosynthesis-depending-breast-density - 2025-10-03
