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Agentic AI — the new paradigm for creating autonomous systems capable of perceiving, reasoning, learning, and acting towards goals using large language models (LLMs) with minimal human oversight — offers transformative potential but also poses systemic risks that the EU AI Act only partially addresses. These agents can evolve unpredictably, interact with other agents, and operate beyond meaningful
Basalcellscancer (BCC) är den vanligaste formen av hudcancer som enligt Socialstyrelsen drabbar omkring 50 000 svenskar varje år. Om en patient misstänks ha basalcellscancer måste man ta bort en bit av huden för att undersöka den i mikroskop. Om det visar sig efter undersökningen att det finns cancerceller kvar, måste man operera igen, vilket är obehagligt för patienten, kostsamt och förlänger vänBasal cell carcinoma (BCC) is the most common form of skin cancer with the current diagnostic procedures relying on surgical excisions and histopathological analyses. Incomplete removal of the tumor necessitates additional surgery, which is both costly and time-consuming, and causes unnecessary suffering for the patient. To address this, non-invasive diagnostic techniques capable of determining th
BackgroundEarly detection of cerebral palsy (CP) is essential to initiate timely intervention andimprove long-term outcomes for infants at risk. The General MovementsAssessment (GMA) is a well-established tool for early identification of CP, yet itsimplementation in routine clinical practice faces challenges related to access andscalability.AimThis thesis explores the use of GMA as a screening too
The principle of patient self-determination is central to contemporary medical ethics. However, many uncertainties remain regarding its implementation in healthcare. This thesis explores, from an ethical perspective, situations in nephrology care that reveal barriers to patient self-determination or where the requirements of the principle are unclear. The thesis includes three published articles a
Background and aim: Children with type 1 diabetes (T1D) represent a heterogeneous group of children with varying genetic backgrounds and different numbers of autoantibodies at diagnosis. The latter may reflect an interaction between genetic susceptibility and environmental triggers that contribute to the onset of the disease. However, the specific triggers remain unknown. The overall aim of this t
AimsThe epidemiology of proximal humerus fractures (PHFs) has been described in terms of incidence, fracture complexity, and general time trends, but current literature on time trends in PHF complexity is limited. This study aims to explore possible time trends in PHF complexity and report the distribution of different types of PHF from January 1944 to December 2020.MethodsThe city of Malmö, Swede
High-risk neuroblastoma (NB) is a rare, solid childhood cancer with poor prognosis due to treatment resistance and metastasis. Improved patient outcome is dependent on the understanding of the resistance mechanisms and subsequent development of novel treatment options.In Paper I, we established a clinically relevant in vivo treatment protocol using current standard-of-care chemotherapy (COJEC). We
BACKGROUND: Cerebrospinal fluid (CSF) clearance via the olfactory pathway is well-documented in animal models. However, results from in vivo human studies appear inconsistent. Studies using intrathecal (IT) Gadolinium-based contrast agents (GBCA) enhanced MRI showed minimal tracer pass-through from intracranial to extracranial olfactory regions such as the nasal mucosa. Conversely, human imaging s
BackgroundEarly identification of acute kidney injury (AKI) in the intensive care unit (ICU) remains challenging. We aimed to identify key predictors of new-onset AKI within 48 h after ICU admission and renal replacement therapy (RRT) need within 7 days, using explainable artificial intelligence (XAI) with eXtreme Gradient Boosting (XGBoost). We also assessed whether XGBoost improved predictive peBACKGROUND: Early identification of acute kidney injury (AKI) in the intensive care unit (ICU) remains challenging. We aimed to identify key predictors of new-onset AKI within 48 h after ICU admission and renal replacement therapy (RRT) need within 7 days, using explainable artificial intelligence (XAI) with eXtreme Gradient Boosting (XGBoost). We also assessed whether XGBoost improved predictive
Introduction: Patients with pancreatic ductal adenocarcinoma (PDAC) have a dismal prognosis. The majority of patients are diagnosed at an advanced stage, and for these patients, the only possible treatment is palliative chemotherapy. There are increasing data from retrospective studies indicating that a subgroup of patients with liver-limited metastases may benefit from surgical treatment of liver
The structure and dynamics of intrinsically disordered proteins (IDPs) are malleable to solution conditions. Considerable effort has been devoted to understanding the effects of molecular crowding on these properties. Polymer-based crowders, such as polyethylene glycol (PEG) and Ficoll®, are commonly used to simulate the intracellular environment by replicating the high concentration of macromolec
The evolution of advanced cognition in vertebrates is associated with two independent innovations in the forebrain: the six-layered neocortex in mammals and the dorsal ventricular ridge (DVR) in sauropsids (reptiles and birds). How these novelties arose in vertebrate ancestors remains unclear. To reconstruct forebrain evolution in tetrapods, we built a cell type atlas of the telencephalon of the s
We aimed to investigate the association between psychotropic drug use (proxy for psychological health) and Complex Regional Pain Syndrome (CRPS) type 1 and type 2 in upper and lower limbs. We also assessed the impact of demographic and socioeconomic factors. From a national record linkage database [4,706,821 individuals (25–64 years); CRPS type 1 = 809; type 2 = 225], prevalence ratios (PR), absol
This study examined pathways to quality-of-life (QOL) among hotel staff facing job insecurity, considering the roles of customer orientation, organizational commitment, leadership, and job engagement. A research model was developed and tested using path analysis on survey data, comparing groups with high and low job insecurity. Results showed the model explained 43.3 % of variance in QOL. Customer
Background: In cardiovascular magnetic resonance, late gadolinium enhancement (LGE) is the standard method to visualize myocardial infarction (MI). Many algorithms quantifying infarct size in LGE images exist. However, only few algorithms have been validated, i.e., benchmarked against an ex-vivo measurement. Furthermore, the reported algorithm performance varies considerably between studies. Objec
I Sverige hålls människor kvar i fattigdom, samtidigt som de misstänkliggörs av politiker som lata, otacksamma och bidragsberoende. Att regeringen svajar på sanningen visar bara på deras djupa okunskap om försörjningsstödssystemet – samtidigt som de förstärker en demoniserande bild av utrikesfödda barnfamiljer i utsatthet, skriver 18 fattigdomsforskare.
This thesis investigates the legal and ethical implications of generative artificial intelligence (AI) within the European Union copyright framework, with a particular focus on text and data mining (TDM) practices. It explores how AI systems are trained using vast datasets - often scraped from online content - raising concerns around authorship, consent, and the preservation of attribution. The st
