Search results

Background: SARS-CoV-2 remains globally circulating, yet post-pandemic comprehensive molecular, serological, and population-level immunity data from low-resource settings such as Ethiopia are limited. This study employed genomic surveillance with seroepidemiological assessment to characterize the epidemiology of SARS-CoV-2 among individuals presenting with influenza-like illness (ILI) and severe a

Background: The first interim analysis of the phase III, randomized, double-blind, placebo-controlled, multinational TITAN study demonstrated improved overall survival (OS) and radiographic progression-free survival (rPFS) with apalutamide added to ongoing androgen deprivation therapy (ADT) in patients with metastatic castration-sensitive prostate cancer. The final analysis confirmed improvement i

To reduce the load on the UAV operator during long-term search and rescue missions, an on-board automatic system is considered that generates control signals for positioning an additional video camera with a narrow field of view. The requirements for the system of automatic detection of the area of interest are defined. Various methods for detecting objects in images are considered, analyzed and c

Background: Molecular signatures in prostate cancer (PCa) tissue can provide useful prognostic information to improve the understanding of a patient's risk of harbouring aggressive disease. Objective: To develop and validate a gene signature that adds independent prognostic information to clinical parameters for better treatment decisions and patient management. Design, setting, and participants:

Enabling resilient autonomous motion planning requires robust predictions of surrounding road users' future behavior. In response to this need and the associated challenges, we introduce our model titled MTP-GO. The model encodes the scene using temporal graph neural networks to produce the inputs to an underlying motion model. The motion model is implemented using neural ordinary differential equ

Given their flexibility and encouraging performance, deep-learning models are becoming standard for motion prediction in autonomous driving. However, with great flexibility comes a lack of interpretability and possible violations of physical constraints. Accompanying these data-driven methods with differentially-constrained motion models to provide physically feasible trajectories is a promising f

Background: Gallbladder cancer (GBC) is rare but aggressive. The extent of surgical intervention for different GBC stages is non-uniform, ranging from cholecystectomy alone to extended resections including major hepatectomy, resection of adjacent organs and routine extrahepatic bile duct resection (EBDR). Robust evidence here is lacking, however, and survival benefit poorly defined. This study ass

Objective: Analyze the outcomes of endovascular complex abdominal and thoracoabdominal aortic aneurysm repair using the Cook fenestrated device with the modified preloaded delivery system (MPDS) with a biport handle and preloaded catheters. Methods: A multicenter retrospective single arm cohort study was performed, including all consecutive patients with complex abdominal aortic aneurysm repair an

Hur går det till när besluts fattas om huruvida, när och vart ett barn eller en ungdom ska placeras i samhällsvård och vad händer med detta beslutsfattande när ärendetrycket ökar på organisationen? Den brittiske barnavårdsforskaren Nigel Parton (1998), bland andra, har hävdat att när trycket ökar och resurser blir färre inom människobehandlande organisationer som Socialtjänsten, är en vanlig reakt

BACKGROUND: Patients with diabetes have increased rates of major adverse cardiac events (MACEs). We hypothesized that this is explained by diabetes-associated differences in coronary plaque morphology and lipid content. METHODS: In PROSPECT II (Providing Regional Observations to Study Predictors of Events in the Coronary Tree), 898 patients with acute myocardial infarction with or without ST-segme

An integration of distributionally robust risk allocation into sampling-based motion planning algorithms for robots operating in uncertain environments is proposed. We perform non-uniform risk allocation by decomposing the distributionally robust joint risk constraints defined over the entire planning horizon into individual risk constraints given the total risk budget. Specifically, the determini

Ex vivo (outside of the body) working heart models enable the evaluation of isolated hearts. They are envisioned to play an important role in increasing the currently low utilization rate of donor hearts for transplantation. For the heart to work in isolation, an afterload (flow impedance) is needed. To date, afterload devices have been constructed by combining multiple constituent elements such a

Fast simulation of linear time-invariant (LTI) pharmacokinetic (PK) models is crucial to mixed-effect modeling techniques, used extensively in pharmacological research and development. The by far most common LTI PK models are particularly structured compartmental systems with one, two or three compartments. Here we develop and demonstrate very efficient, and down to machine precision exact, simula

The urbanization of landscapes and the increase in impervious land cover materials is known to cause significant changes in the landscape's thermal properties, typically leading to urban heat island (UHI). Although previous studies have investigated the impacts of land cover land use (LULC) and other factors on the urban land surface temperature (LST), the results of such studies are mixed. For in

Recent years have seen growing interest in leveraging deep learning models for monitoring epilepsy patients based on electroencephalographic (EEG) signals. However, these approaches often exhibit poor generalization when applied outside of the setting in which training data was collected. Furthermore, manual labeling of EEG signals is a time-consuming process requiring expert analysis,

Background: Depression is a risk factor for type 2 diabetes (T2D) and cardiovascular disease (CVD). The aims were to explore the prevalence of depression, anxiety, antidepressant use, obesity, Hemoglobin A1c > 64 mmol/mol, life-style factors, pre-existing CVD, in patients with newly diagnosed T2D; to explore associations with depression; and to compare with Swedish general population data. Methods

There is a growing interest in industry and academia in machine learning (ML) testing. We believe that industry and academia need to learn together to produce rigorous and relevant knowledge. In this study, we initiate a collaboration between stakeholders from one case company, one research institute, and one university. To establish a common view of the problem domain, we applied an interactive r

Objectives: The aim of this study was to investigate genetic outcomes, analyze the family experience, and describe the process of implementing genetic sequencing for children with profound sensorineural hearing loss (SNHL) at a tertial audiological center in southern Sweden. Design: This is a prospective pilot study including eleven children with profound bilateral SNHL who underwent cochlear impl