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BACKGROUND: Biomarkers reflecting diverse pathophysiological pathways may play an important role in the pathogenesis of abdominal aortic aneurysm (aortic diameter ≥30 mm, AAA), levels of many biomarkers are elevated and correlated to aortic diameter among 65-year-old men undergoing ultrasound (US) screening for AAA.PROBANDS AND METHODS: To evaluate potential relationships between biomarkers and ao

In 2014 a small fire started in a forest in central Sweden. Within a few days it developed into the largest wildfire in Sweden in the last 50 years. As the scale of the fire increased, so did the need for direction and coordination of the resources engaged in the response operation. Both official investigators and the research community have studied the challenges and come up with recommendations

We are reporting an efficient, label-free and continuous separation of mononuclear cells (MNC), from blood using microchip acoustophoresis. In standard PBS buffer, MNCs and red blood cells (RBC) display overlapping acoustophoretic mobilities which compromise separation of these cell types from each other. In this paper we capitalize on the fact that MNC and RBC display different acoustophysical pr

Aim: The Cockcroft-Gault (CG) creatinine-based equation is still used to estimate glomerular filtration rate (eGFR) for drug dosage adjustment. Incorrect eGFR may lead to hazardous over- or underdosing. Methods: In a cross-sectional analysis, CG was validated against measured GFR (mGFR) in 14 804 participants and compared with the Modification-of-Diet-in-Renal-Diseases (MDRD), Chronic-Kidney-Disea

Prospective clinical plasma biomarker studies in abdominal aortic aneurysm (AAA) pathogenesis have been hampered by the need for very large cohorts and long follow-up time. The main aim of the present study was to evaluate the association of adrenomedullin, a cardiovascular (CV) stress marker, and incident AAA risk. Prospective longitudinal cohort of middle-aged individuals from the CV cohort of t

Småföretagen upplever svårigheter vid finansiering med banklån. Anledningen till det är att bankerna ställer högre krav på säkerheter och historik till följd av finanskrisen 2008. Samtidigt söker investerarna alternativa placeringar utanför börsen. I denna miljö föds en ny finansieringslösning- gräsrotsfinansiering. Ämnet är nytt och i detta arbete ges en introduktion och en kartläggning av ämnet Small businesses encounter difficulties receiving bank loans due to the 2008 recession. Banks have harder requirements on collaterals and satisfactory records of accomplishment than before the crisis. At the same time, investors are looking for investments beside common stocks. In this environment, a new financing solution is being born – the crowdfunding. The aim of this thesis is to research on

Mesenchymal stem cells (MSC) have not only been implicated in the development of lung diseases, but they have also been proposed as a future cell-based therapy for lung diseases. However, the cellular identity of the primary MSC in human lung tissues has not yet been reported. This study therefore aimed to identify and characterise the 'bona fide' MSC in human lungs and to investigate if the MSC n

Infant Acute Lymphoblastic Leukemia (ALL) driven by the KMT2A::AFF1 onco-fusion is an aggressive, poor prognosis disease with few co-operative mutations. The fusion originates in utero, yet the embryonic initiating steps of disease development remain poorly understood. Here, we present a novel murine KMT2A::AFF1 model, that provides key insights into KMT2A::AFF1 pre-leukemia, relevant to human dis

Today, the overwhelming majority of Internet of Things (IoT) and mobile edge devices have extreme resource limitations, e.g., in terms of computing, memory, and energy. As a result, training Deep Neural Networks (DNNs) using the complex Backpropagation (BP) algorithm on such edge devices presents a major challenge. Forward-only algorithms have emerged as more computation- and memory-efficient alte

Nanowires have an ideal shape for high-resolution imaging, with a small cross-section for high resolution and a long length for strong absorption. However, since the absorption in nanowires is dominated by nanophotonic effects, it is unclear what resolution and efficiency such devices could offer. Here, we investigate the limits of spatial resolution and efficiency of nanowire-based direct detecto

Given two neural network classifiers with the same in-put and output domains, our goal is to compare the two networksin relation to each other over an entire input region (e.g., within avicinity of an input sample). To this end, we establish the foundationof formal local implication between two networks, i.e., N2D=⇒ N1, in an entire input region D. That is, network N1 consistently makesa correct d

Phage collections are essential tools for discovering and dissecting bacterial anti-phage defense systems. Here, we report the isolation, characterization, and annotated genome sequences of five environmental Escherichia coli-infecting phages, obtained during the 2023 Fundamentals of Basic and Applied Phage Biology course at Lund University. The phages were isolated using a motile E. coli K-12 BW2

Machine Learning (ML) offers many opportunities, but its reliance on personal data raises privacy concerns. One such example is the Membership Inference Attack (MIA), which aims to determine whether a specific data point was part of a model’s training dataset. In this paper, we investigate this attack on Random Forests (RFs) and propose a method to quantify their vulnerability to MIA. We also demo

Vision impairment increases risks such as social isolation, mobility challenges, and falls. Wearable Augmented Reality (AR) devices with Artificial Intelligence (AI) can enhance sensory perception by enabling real-time recognition of obstacles, assisting visually impaired individuals during street navigation, aiming to reduce the risk of falls. In this paper, we propose a Federated Learning (FL) f

Robotic systems often face execution failures due to unexpected obstacles, sensor errors, or environmental changes. Traditional failure recovery methods rely on predefined strategies or human intervention, making them less adaptable. This paper presents a unified failure recovery framework that combines Vision-Language Models (VLMs), a reactive planner, and Behavior Trees (BTs) to enable real-time

The PRIMARY score was implemented in Prostate Cancer Molecular Imaging Standardized Evaluation (PROMISE) version 2 to improve accuracy for the diagnosis of clinically significant prostate cancer using prostate-specific membrane antigen (PSMA) positron emission tomography (PET). We reviewed overall survival (OS) for patients who underwent PSMA PET for initial staging to evaluate the prognostic valu

Atrial fibrillation (AF) is the most common heart rhythm abnormality and is a leading cause of heart failure and stroke. This large-scale meta-analysis of genome-wide association studies increased the power to detect single-nucleotide variant associations and found more than 350 AF-associated genetic loci. We identified candidate genes related to muscle contractility, cardiac muscle development an