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Background: Patients with diabetes admitted to emergency care face a higher risk of complications, including prolonged hospital stays, admissions to the intensive care unit and mortality. Aim: To develop a machine learning (ML) model to predict 30-day mortality in patients with diabetes admitted to the emergency department (ED). Design and setting: A cohort study utilizing data from all nine ED’s

Objective Type 2 diabetes mellitus (T2DM) and osteoarthritis (OA) are globally prevalent chronic diseases that affect millions of individuals in ageing populations. Hip and knee replacements are well established and effective treatments in patients suffering from end-stage OA. Understanding how T2DM influences the outcomes of these surgeries is important for optimising patient care and improving s

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases

Improving the catalytic performance in the hydrodeoxygenation (HDO) of lignin oils to produce liquid fuels, while meeting industrial requirements, is important for addressing current environmental challenges. In the present study, the promoting effects of noble metals (Pd, Pt, and Ir) on the performance of the Ni–Mo/CeLa/Al2O3 catalyst were investigated in the HDO of a lignin-derived pyrolysis oil

The use of extracorporeal life support (ECLS) throughout the perioperative phase of lung transplantation requires nuanced planning and execution by an integrated team of multidisciplinary experts. To date, no multidisciplinary consensus document has examined the perioperative considerations of how to best manage these patients. To address this challenge, this perioperative utilization of ECLS in l

Artificial intelligence (AI) is set to transform the care of women with cancer. From early detection via digital phenotyping to diagnosis, treatment, and follow-up, innovative AI applications are rapidly emerging across the cancer care continuum. AI-assisted mammographic screening for breast cancer has been clinically translated, and AI-based contouring in radiotherapy is streamlining treatment pl

BACKGROUND: TF (transcription factor) Prdm16 (positive regulatory domain-containing protein 16) regulates hematopoietic and neuronal stem cell homeostasis, adipose differentiation, and cardiac development. Its role in the circulatory system extends beyond the heart, as Prdm16 loss in arterial endothelial cells (ECs) impairs arterial reperfusion of ischemic mouse limbs due to endothelial dysfunctio

Degenerative meniscus lesions have been associated with both osteoarthritis etiology and its progression. We, therefore, sought to establish a human meniscus ex vivo model to study the meniscal response to cytokine treatment using a proteomics approach. Lateral menisci were obtained from five knee-healthy donors. The meniscal body was cut into vertical slices and further divided into an inner (ava

During development, hematopoietic stem cells (HSCs) undergo a rapid expansion in the fetal liver (FL) before settling in the adult bone marrow. We recently reported that proliferating adult HSCs are vulnerable to ER stress caused by accumulation of mis-folded proteins. Here, we find that FL-HSCs, despite an increased protein synthesis rate and a requirement for protein folding, do not upregulate E

BACKGROUNDThe accuracy of estimation of kidney function with the use of routine metabolic tests, such as measurement of the serum creatinine level, has been controversial. The European Kidney Function Consortium (EKFC) developed a creatinine-based equation (EKFC eGFRcr) to estimate the glomerular filtration rate (GFR) with a rescaled serum creatinine level (i.e., the serum creatinine level is divi

Understanding the atomic-scale interfaces in advanced semiconductor heterostructures is essential for controlling defects, optimizing material properties, and ensuring device reliability. In this work, we present a comprehensive study of the atomic structure at Al(Ga)N interfaces in N-polar GaN high-electron-mobility transistor structures (HEMTs) via aberration-corrected annular dark field scannin

Toxin-antitoxin-chaperone (TAC) systems are three-part gene clusters encoding a toxin, antitoxin, and specialized SecB-like chaperone (SecB TA) with emerging roles in phage defense. To identify and classify SecB homologs and associated TACs across bacteria, we surveyed the full RefSeq database. Phylogenetic and gene neighborhood analyses reveal three major SecB subfamilies: two housekeeping groups

Obesity’s metabolic heterogeneity is not fully captured by body mass index (BMI). Here we show that deep multi-omics phenotyping of 1,408 individuals defines a metabolome-informed obesity metric (metBMI) that captures adipose tissue-related dysfunction across organ systems. In an external cohort (n = 466), metBMI explained 52% of BMI variance and more accurately reflected adiposity than other omic

The use of extracorporeal life support (ECLS) throughout the perioperative phase of lung transplantation requires nuanced planning and execution by an integrated team of multidisciplinary experts. To date, no multidisciplinary consensus document has examined the perioperative considerations of how to best manage these patients. To address this challenge, this perioperative utilization of ECLS in l

The International Society for Heart and Lung Transplantation Consensus for Perioperative Utilization of Extracorporeal Life Support in Lung Transplantation consists of 111 Delphi-derived statements across 3 separate manuscripts. These statements aim to provide comprehensive phase-of-care recommendations for international multidisciplinary teams to use in their clinical practice from time of recipi

Background: Precision prevention involves tailoring interventions to the unique characteristics of a group or individual to maximize their effectiveness. In this study, we examined the role of participant characteristics in the effectiveness of lifestyle interventions to optimize gestational weight gain (GWG). Methods: We searched Medline, Embase, and PubMed, from inception up to March 2025, to id

Smart microscopy lies at the intersection of biology, optics, engineering, and computer science. Unlike traditional microscopes, smart systems actively adapt their acquisition settings in real time based on information extracted from the sample, allowing experiments to navigate competing demands such as resolution, speed and sample health. In this review, we present a practical framework for what

Objective This study aims to investigate whether oral fluoroquinolone use is associated with an increased risk of aortic and mitral valve regurgitation. Design A nationwide cohort study based on linked healthcare register data encompassing patient characteristics, prescription data and cases of aortic and mitral valve regurgitation. Setting Sweden, 2006–2018. Participants Study participants were a

Rapid adoption of artificial intelligence methods in breast imaging research emphasizes the need for large, appropriately curated image databases for development and validation. For digital breast tomosynthesis (DBT), there are few public databases with only limited lesion annotation. Recently, we have developed Malmö Breast ImaginG (M-BIG), a large database of 104 791 women screened at Skåne Univ