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The paper identifies three interconnected scales of global politics in Artificial Intelligence (AI) and healthcare. It provides a multilevel framework for policy makers to situate hybrid-human AI collaborations in healthcare within broader global political concerns.
BACKGROUND: Lead is an established causal risk factor for coronary heart disease. Atherosclerosis may be the key mediator for this association, but evidence from studies in humans is limited. Our objective was to test the hypothesis that environmental lead exposure is associated with coronary atherosclerosis. METHODS: We used cross-sectional data from the SCAPIS (Swedish Cardiopulmonary Bioimage S
Climate change and land-use change represent a dual threat to terrestrial ecosystem functioning. In the tropics, forest conversion to agriculture is occurring alongside warming and more pronounced periods of drought. Rainfall after drought induces enormous dynamics in microbial growth (potential soil carbon storage) and respiration (determining carbon loss), affecting the ecosystem carbon budget.
How mergers affect galaxy formation depends on both feedback processes, and on the geometry and strength of the mergers themselves. We introduce the PARADIGM project, where we study the response of a simulated Milky-Way-mass galaxy (M200c ∼ 1012 M at z = 0) forming in a cosmological setting to differing merger histories, using genetically modified initial conditions, each simulated with the VINTER
Accurate quantification in emission tomography is essential for internal radiopharmaceutical therapy dosimetry. Mean activity concentration measurements in objects with diameters less than 10 times the full width at half maximum of the imaging system’s spatial resolution are significantly affected (>10%) by the partial-volume effect. This study develops a framework for PET and SPECT spatial resolu
Low birthweight is a risk factor for type 2 diabetes. We hypothesised that differential associations between birthweight and clinical characteristics in persons with and without type 2 diabetes may provide novel insights into the role of birthweight in type 2 diabetes and its progression. We analysed UK Biobank data from 9,442 persons with and 254,446 without type 2 diabetes. Associations between
Typical analyses of otolith microchemistry use calcium, a major constituent, as an internal standard, setting its value as a constant and ignoring any potential variations. In fact, patterns do occur in otolith Ca deposition, as can be observed either by repeating the analysis, by creating two-dimensional maps of Ca, or both. Here we present evidence of Ca variations in fish otoliths from analyses
Healthcare policy making is complex, requiring both human expertise and data-driven support. Agent-based Social Simulations (ABSS) provide a powerful tool for testing the potential consequences of healthcare policy interventions in a controlled environment. By integrating computational modeling with expert knowledge, ABSS enable hybrid-human policy collaborations, where simulation results support
Globally, freshwater ecosystems are threatened by multiple stressors, yet our knowledge of how they interact to affect food web structure remains scant. To address this knowledge gap, we conducted a large-scale mesocosm experiment to quantify the single and combined effects of three common anthropogenic stressors: warming, increased nutrient loading, and insecticide pollution, on the network struc
We present an interactive agent-based model that showcases Spain’s organ donation policy approach if applied to Sweden. The gamified experience fosters an understanding of complex public health policies.
Despite the considerable amount of research devoted to speech act theory, relatively little attention has been paid to the cognitive foundations underlying different speech act classes. This article addresses this gap by introducing a framework of cognitive dimensions associated with the performance of expressives, directives and assertions. Drawing on empirical data, we argue that each class requ
Introduction: Adult acquired flatfoot deformity (AAFD) is a disabling condition that may require complex surgical treatment. Little is known about the incidence of AAFD in the general population and specifically of AAFD requiring specialist care. We aimed to describe the incidence of AAFD referred to specialist care in the Swedish general population. Methods: We conducted a nation-wide epidemiolog
In recent years, injectable cryogels have been frequently used in various biomedical applications such as tissue engineering, drug delivery, therapeutics, therapy, cell transplantation and immunotherapy. Cryogels, one of the biomaterials with injectable 3D scaffold structures, have important properties such as biocompatibility, physical resistance, macropore and sensitivity. In addition to being b
Apolipoprotein E (APOE) is distributed across various human tissues and plays a crucial role in lipid metabolism. Recent investigations have uncovered an additional facet of APOE's functionality, revealing its role in host defense against bacterial infections. To assess the antibacterial attributes of APOE3 and APOE4, we conducted antibacterial assays using Pseudomonas aeruginosa and Escherichia c
Context: Peptidylglycine-α-amidating monooxygenase (PAM) is a critical enzyme in the endocrine system responsible for activation, by amidation, of bioactive peptides. Objective: To define the clinical phenotype of carriers of genetic mutations associated with impaired PAM-amidating activity (PAM-AMA). Design: We used genetic and phenotypic data from cohort studies: the Malmö Diet and Cancer (MDC;
Objective: Exercise is a first-line intervention for osteoarthritis (OA). However, exercise adherence remains low, and existing studies exploring factors influencing adherence have yielded inconclusive results based on quantitative data. This study aims to synthesise qualitative studies focused on the perceived facilitators and barriers affecting exercise adherence in individuals with OA. Design:
In this work we present a simultaneous shape and topology optimization framework that generates large-scale 3D designs on unstructured grids. We consider a “parameter-free” shape optimization approach, wherein the nodal coordinates in the finite element mesh serve as design variables. To regularize the design changes we use a PDE-based filter, similar to the filtering techniques used in topology o
