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A pilot study of AI-assisted reading of prostate MRI in Organized Prostate Cancer Testing

Objectives: To evaluate the feasibility of AI-assisted reading of prostate magnetic resonance imaging (MRI) in Organized Prostate cancer Testing (OPT). Methods: Retrospective cohort study including 57 men with elevated prostate-specific antigen (PSA) levels ≥3 µg/L that performed bi-parametric MRI in OPT. The results of a CE-marked deep learning (DL) algorithm for prostate MRI lesion detection wer

Mammographic features differ with body composition in women with breast cancer

Objectives: There are several breast cancer (BC) risk factors—many related to body composition, hormonal status, and fertility patterns. However, it is not known if risk factors in healthy women are associated with specific mammographic features at the time of BC diagnosis. Our aim was to assess the potential association between pre-diagnostic body composition and mammographic features in the diag

Pyruvate metabolism guides definitive lineage specification during hematopoietic emergence

During embryonic development, hematopoiesis occurs through primitive and definitive waves, giving rise to distinct blood lineages. Hematopoietic stem cells (HSCs) emerge from hemogenic endothelial (HE) cells, through endothelial-to-hematopoietic transition (EHT). In the adult, HSC quiescence, maintenance, and differentiation are closely linked to changes in metabolism. However, metabolic processes

Achieving brain clearance and preventing neurodegenerative diseases—A glymphatic perspective

Age-related neurodegenerative diseases are a growing burden to society, and many are sporadic, meaning that the environment, diet and lifestyle play significant roles. Cerebrospinal fluid (CSF)-mediated clearing of brain waste products via perivascular pathways, named the glymphatic system, is receiving increasing interest, as it offers unexplored perspectives on understanding neurodegenerative di

An annotated high-content fluorescence microscopy dataset with Hoechst 33342-stained nuclei and manually labelled outlines

Automated detection of cell nuclei in fluorescence microscopy images is a key task in bioimage analysis. It is essential for most types of microscopy-based high-throughput drug and genomic screening and is often required in smaller scale experiments as well. To develop and evaluate algorithms and neural networks that perform instance or semantic segmentation for detecting nuclei, high quality anno

Single-cell multiomics of human fetal hematopoiesis define a developmental-specific population and a fetal signature

Knowledge of human fetal blood development and how it differs from adult blood is highly relevant to our understanding of congenital blood and immune disorders and childhood leukemia, of which the latter can originate in utero. Blood formation occurs in waves that overlap in time and space, adding to heterogeneity, which necessitates single-cell approaches. Here, a combined single-cell immunopheno

Sociodemographic characteristics and COVID-19 testing rates : spatiotemporal patterns and impact of test accessibility in Sweden

BACKGROUND: Diagnostic testing is essential for disease surveillance and test-trace-isolate efforts. We aimed to investigate if residential area sociodemographic characteristics and test accessibility were associated with Coronavirus Disease 2019 (COVID-19) testing rates.METHODS: We included 426 224 patient-initiated COVID-19 polymerase chain reaction tests from Uppsala County in Sweden from 24 Ju

Development of Perovskite Nanocrystal Superlattices for Studies of Collective Phenomena

Colloidal perovskite nanocrystals are building blocks for novel materials due to the property of nanocrystals to self-assemble into ordered structures (superlattices). Exemplified by a prototypical perovskite CsPbBr3, research into perovskite nanocrystal superlattices is motivated by reports of intriguing phenomena such as superfluorescence and superradiance.[1] Such cooperative luminescence arise

Spatially resolved structural and chemical properties of the white layer in machined Inconel 718 super alloy

Inconel 718 is one type of nickel-based alloy used for a large range of applications, including gas turbines and aeroengines components. Although mechanical and thermodynamic properties of this material have been deeply studied in the past years, a method able to investigate local properties of the thin white layer formed on the alloy surface after machining remains challenging. Here, a 90 nm X-ra

Exploring the digital grey zone of online medicinal markets emerging from search

This explorative study investigates the emergence of gray zone markets from search engines amidst the global expansion of online markets. With the analytical approach of infrastructural inversion, we examine how the search infrastructure constructs access to a gray zone market including both authorized online pharmacies and unauthorized vendors. Using Sweden and Google Search as a case, we explore

A temporal developmental map separates human NK cells from noncytotoxic ILCs through clonal and single-cell analysis

Natural killer (NK) cells represent the cytotoxic member within the innate lymphoid cell (ILC) family that are important against viral infections and cancer. Although the NK cell emergence from hematopoietic stem and progenitor cells through multiple intermediate stages and the underlying regulatory gene network has been extensively studied in mice, this process is not well characterized in humans

Exploring the Functional Landscape of the p53 Regulatory Domain : The Stabilizing Role of Post-Translational Modifications

This study focuses on the intrinsically disordered regulatory domain of p53 and the impact of post-translational modifications. Through fully atomistic explicit water molecular dynamics simulations, we show the wealth of information and detailed understanding that can be obtained by varying the number of phosphorylated amino acids and implementing a restriction in the conformational entropy of the

Design of an AI Support for Diagnosis of Dyspneic Adults at Time of Triage in the Emergency Department

We created an AI support for diagnosis in dyspneic adults at time of triage in the emergency department.Complete data from an entire regional health care system was analyzed, to find AI-derived, unknown, important diagnostic predictors. Most important were prior diagnoses of heart failure or COPD, daily smoking, atrial fibrillation/flutter, life difficulties and maternal care.Sensitivity for AHF,

MAC-1 marks a quiescent and functionally superior HSC subset during regeneration

Mouse hematopoietic stem cells (HSCs) have been extensively defined both molecularly and functionally at steady state, while regenerative stress induces immunophenotypical changes that limit high purity isolation and analysis. It is therefore important to identify markers that specifically label activated HSCs to gain further knowledge about their molecular and functional properties. Here, we asse

Environmental determinants of body mass index trajectories: results from a longitudinal Swedish study

Exposure to natural environments is thought to benefit mental and physical health. A better understanding of the interplay between the individual and the environment in relation to public health is imperative in light of the joint biodiversity, climate, and health crises. This study aimed to 1) identify Body Mass Index (BMI) trajectories in the Scania Public Health Cohort (SPHC), 2) characterise t