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The free light chain (FLC) ratio is a critical part of risk stratification for monoclonal gammopathy of undetermined significance (MGUS). Recently, revised FLC reference intervals developed using the iStopMM cohort, accounting for age and renal function, have reduced the rate of abnormal findings. Here, we examine the implications of the revision in an independent Danish MGUS cohort. Of 6993 MGUS
BACKGROUND: Lung cancer remains one of the most challenging diseases to treat due to its heterogeneity. Kirsten Rat Sarcoma Viral Oncogene Homolog (KRAS) mutations are genetic drivers in numerous cancer types including lung adenocarcinoma (LUAD). Despite recent advances in KRAS-targeted therapies, treatment resistance and limited therapeutic options necessitate advanced preclinical models, such as
Background and aimStroke is a life-threatening condition requiring timely and accurate treatment. Computed tomography (CT) is widely used to detect stroke due to its accessibility, speed and diagnostic value. Spectral CT, the latest advancement in CT technology, utilizes multiple energy levels to improve tissue contrast and material differentiation. This thesis aims to evaluate how spectral recons
While the need for a transformation to tackle climate change is no longer contested, competing visions about the future have taken the front seat in political debates. Previous research on stakeholders in the European Parliament and the GermanBundestag identified opposing views relating to green growth, degrowth and post growth. In relation to trade unions, these have recently been discussed conce
BACKGROUND: One of the critical challenges with capitation payment to primary care providers is ensuring that the fixed payments are equitable and adjusted for expected care needs. Patients of lower socioeconomic status (SES) generally have higher health care need. Sweden developed a Care Needs Index, which is used in the capitation payments to primary care providers to account for patient SES.OBJ
We theoretically investigate a thermoelectric heat engine based on a single-level quantum dot, calculating average quantities such as current, heat current, output power, and efficiency, as well as fluctuations (noise). Our theory is based on a diagrammatic expansion of the memory kernel together with counting statistics, and we investigate the effects of strong interactions and next-to-leading or
This thesis theoretically investigates electronic transport in different low dimensional nanostructures. The miniaturization of electronics means that we reach a limit where quantum effects play a role in electronic devices. To understand and improve electronics at this level it is important to understand the transport properties. Excellent control over the nanostructures also makes them a great p
BACKGROUND: When plotting data points corresponding to the contrast-agent-induced change in transverse relaxation rate from a dynamic gradient-echo (GRE) magnetic resonance imaging (MRI) study versus a corresponding spin-echo study, a loop or vortex curve rather than a reversible line is formed. The vortex curve area is likely to reflect vessel architecture and oxygenation level. In this study, th
In this article, populism is approached as a political alternative that has to be taken seriously. This implies going beyond socio-economic or cultural explanations for populism’s growing popularity. The aim is to understand the reasoning in populist thought, the populist idea. Starting from a simple definition of populism, I then relate to populism as a ‘thin ideology’ or as a ‘political style’.
Harvey's capital switching thesis is one of the most influential contributions of Marxist geographers, providing a framework for understanding structural determinants of capital flows into urban land and built environments. Harvey's thesis has drawn criticism in subsequent debates for its lack of direct empirical support. Even decades later, several gaps remain. The most comprehensive intervention
Artificial Intelligence (AI) technologies are increasingly researched and applied for medical knowledge discovery and to support or automate clinical decision-making. The aim of this thesis is to increase the knowledge on (1) how AI experts, radiologists, and standardizers make sense of AI, in the processes of medical AI development, clinical use and standardization, and (2) how this sensemaking c
