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Cardiovascular magnetic resonance (CMR) can accurately measure left ventricular (LV) mass, and several measures related to LV wall thickness exist. We hypothesized that prognosis can be used to select an optimal measure of wall thickness for characterizing LV hypertrophy. Subjects having undergone CMR were studied (cardiac patients, n = 2543; healthy volunteers, n = 100). A new measure, global wal
Abstract—In numerous image-based studies, such as cell studies,a plethora of information is embedded in cell objects, whichmust first be accurately extracted before it can be utilized forfurther downstream analysis and linked to biological processesexplored in the original experiment. One such technique forthis purpose is instance segmentation. In our study, whichcell death and associated pathways
The use of deep learning for classification tasks has shown great potential in medical applications. In critical domains as such, it is of high interest to have trustworthy algorithms which are able to tell when a reliable assessment cannot be guaranteed. Hence, detecting out-of-distribution (OOD) samples is a crucial step towards building a safe classifier. Following a previous study, showing tha
Boreal and temperate forests are undergoing structural, compositional and functional changes in response to increasing temperatures, changes in precipitation, and rising CO2, but the extent of the changes in forests will also depend on current and future forest management. This study utilized the dynamic vegetation model LPJ-GUESS enabled with forest management (version 4.1.2, rev11016) to simulat
Wetland methane responses to temperature and precipitation are studied in a boreal wetland-rich region in northern Europe using ecosystem process models. Six ecosystem models (JSBACH-HIMMELI, LPX-Bern, LPJ-GUESS, JULES, CLM4.5, and CLM5) are compared to multi-model means of ecosystem models and atmospheric inversions from the Global Carbon Project and upscaled eddy covariance flux results for thei
This study uniquely combines advanced continental-scale data from two distinct sources: pollen-based past land cover (paleoecology) and ancient DNA (aDNA), developing a novel statistical model for spatiotemporal reconstructions of past land use across Europe. This groundbreaking approach integrates paleo-pollen and aDNA data, providing unprecedented insights into the environmental impacts of Holoc
Poor survival for breast cancer in low- and middle-income countries is largely attributed to late-stage diagnosis and limited access to diagnostic tools. Therefore, we propose using point-of-care ultrasound (POCUS) as a low-cost diagnostic solution paired with a deep learning (DL) model for cancer detection. While using DL has shown great potential, it is crucial to ensure the trustworthiness of a
OBJECTIVES: Early diagnostic separation between glioblastoma (GBM) and solitary metastases (MET) is important for patient management but remains challenging when based on imaging only. The objective of this study was to assess whether amide proton transfer weighted (APTw) MRI alone or combined with dynamic susceptibility contrast (DSC) MRI parameters, including cerebral blood volume (CBV), cerebra
Due to ongoing climate change, methane (CH4) emissions from vegetated wetlands are projected to increase during the 21st century, challenging climate mitigation efforts aimed at limiting global warming. However, despite reports of rising emission trends, a comprehensive evaluation and attribution of recent changes remains limited. Here we assessed global wetland CH4 emissions from 2000-2020 based
OBJECTIVES: To reach agreement among experts on visual assessments of postural orientation errors (POEs) during the single-leg squat (SLS), and to use expert agreement assessments as ground truth for machine learning (ML) models to evaluate their ability to classify POEs.DESIGN: Methodological study with mixed-methods design.METHODS: POEs of the lower extremity and trunk were assessed from videos
Anthropogenic land-use change (LUC) substantially impacts climate dynamics, primarily through modifications in the surface biogeophysical (BGP) and biogeochemical (BGC) fluxes, which alter the exchange of energy, water, and carbon with the atmosphere. Despite the established significance of both the BGP and BGC effects, their relative contribution to climate change remains poorly quantified. In th
OBJECTIVE: To explore the cerebrospinal fluid (CSF) proteome in systemic lupus erythematosus (SLE) and the associations between the CSF proteomic patterns and clinical manifestations.METHODS: CSF samples from 29 female outpatients with SLE were analyzed with label-free liquid chromatography tandem mass spectrometry. Inclusion and CSF collection were conducted irrespective of clinical manifestation
Unpigmented skin cancer is the most prevalent form of cancer, and it burdens healthcare substantially even if it is not as aggressive as the more well-known malignant melanoma. Dermatoscopy images are commonly used for diagnosis, but differentiating between the many sub-diagnoses is a hard task. In this study we focus on these unpigmented cancers, performing both detection of basal cell carcinoma
With their superficially shark-like appearance, the Mesozoic ichthyosaurs provide a classic illustration of major morphological adaptations in an ancestrally terrestrial tetrapod lineage following the invasion of marine habitats1, 2–3. Much of what is known about ichthyosaur soft tissues derives from specimens with body outlines4, 5–6. However, despite offering insights into aspects of biology tha
Background: In addition to impairing the lung function, chronic obstructive pulmonary disease (COPD) also affects phonatory characteristics. Recent research highlights the potential of voice as a digital biomarker to support clinical decision-making. While machine learning (ML) can detect disease patterns from acoustic features, clinical relevance requires understanding the relationship between th
Essentially all academic research of today relies on analysis of data from a wide range of sources. Several underpinning, and rapidly developing, technologies are supporting the analysis of this data. Visualization serves as an interface to this ecosystem of tools and methods and integrates them into environments supporting scientific workflows, effectively sharing cognitive load between computers
Full text linksBMC Public Health. 2026 Apr 17;26(1):1273.doi: 10.1186/s12889-026-27378-1.Individual and environmental determinants of body mass index trajectories: results from a longitudinal study in Southern SwedenPauline Rebouillat 1 , Kristoffer Mattisson 2 , Giedre Gefenaite 3 , Per-Olof Östergren 4 , Peter M Nilsson 5 6 , Jonas Björk 2 7Affiliations PMID: 41998602 PMCID: PMC1309
Rapid urban growth is making cities hotter, a trend further exacerbated by climate change. Urban green spaces (UGS) are commonly used as nature-based solutions to reduce heat, but there are gaps in understanding how cooling effects vary across climate zones. Using satellite data from 2021 to 2024, we examined urban heat and UGS patterns during the hot season across four Ethiopian cities with diffe
Background: L-DOPA-induced dyskinesia is attributed to opposite activity changes mediated by D1 and D2 dopamine receptors in the two striatal output pathways. Whereas the causal role of direct-pathway D1 receptors is well established, the specific involvement of indirect-pathway D2 receptors in dopaminergic dyskinesias has remained elusive. Objectives: We used conditional knockout approaches in mi
Objectives: – To quantify the risk of incident psychiatric morbidity after community-acquired sepsis and assess whether new chronic diseases mediate the association. Design: – Nationwide, population-based matched register cohort; hazards estimated with weighted Cox regression. Setting: – Sweden, linking the National Quality Sepsis Registry, National Patient Register, Prescribed Drug Register, and
