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Degrowth and business: Towards a holistic research agenda

A growing number of publications focuses on business in relation to degrowth. Such research, for example, considers what it would take for businesses to become degrowth-compatible, what business practices need to be in place, and how businesses would have to relate with nature, human and non-human beings. Although degrowth business scholarship has come a long way in the past couple of years, many

Lärostycken

Vem är den unge kamraten? Vad finns kvar av det som en gång var en rörelse? Vad hände med alla storslagna drömmar om att förändra världen? Vad gör vi om vi redan förlorat och våra fiender sitter vid makten? Med föreställningarna Våld & pedagogik och Kropp & straff ville dramatikern Henrik Bromander och regissören John Hanse skapa nya lärostycken som tog sikte på samtidens akuta frågor. Ins

Revised free light chain reference intervals enhance risk stratification in monoclonal gammopathy of undetermined significance and reduce overdiagnosis

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

Advanced organoid models for targeting Kras-driven lung adenocarcinoma in drug discovery and combination therapy

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

Improvements in brain imaging using spectral computed tomography: Development and evaluation of novel techniques

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