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Endocrine disorders that lead to a state of chronic high blood glucose levels are collectively referred to as diabetes. This metabolic disease is mainly categorized into type 1 (T1D) and type 2 diabetes (T2D). These diabetic forms originate from distinct triggering environmental, genetic, and altered mechanisms. T2D is a consequence of metabolic load, peripheral insulin resistance, and failure of

BACKGROUND: Although rare in the general population, highly penetrant germline mutations in CDKN2A are responsible for 5-40% of melanoma cases reported in melanoma-prone families. We sought to determine whether MELPREDICT was generalizable to a global series of melanoma families and whether performance improvements can be achieved.METHODS: 2,116 familial melanoma cases were ascertained by the inte

To investigate core resting state networks in SLE patients with and without neuropsychiatric symptoms by examining functional connectivity changes correlating with results of cognitive testing. Structural MRI and resting state-fMRI (rs-fMRI) were performed in 61 female SLE patients (mean age: 36.8 years, range 18.2–52.0 years) and 20 healthy controls (HC) (mean age 36.2 years, range 23.3–52.2 year

OBJECTIVE: Mortality caused by coronary artery disease has markedly decreased in recent years. However, a substantial proportion of patients suffering a coronary event (CE) die within the first day, most of them out of hospital. We aimed to investigate how established cardiovascular (CV) risk factors and CV autonomic indices associate with fatal versus non-fatal CEs in the population.METHODS: 33 0

Inverse problems are important in quantum mechanics and involve such questions as finding which potential give a certain spectrum or which arrangement of atoms give certain properties to a molecule or solid. Inverse problems are typically very hard to solve and tend to be very compute intense. We here show that neural networks can easily solve inverse problems in quantum mechanics. It is known tha

Background: Many persons with late effects of polio (LEoP) perceive walking limitations in everyday life. A common rating scale to assess walking limitations is the Walking Impact Scale (Walk-12). However, there is limited knowledge about its psychometric properties. Objective: To investigate the psychometric properties of Walk-12 in persons with LEoP. Design: Rasch model analysis of cross-section

OBJECTIVE: To determine the efficacy and safety of low carbohydrate diets (LCDs) and very low carbohydrate diets (VLCDs) for people with type 2 diabetes. DESIGN: Systematic review and meta-analysis. DATA SOURCES: Searches of CENTRAL, Medline, Embase, CINAHL, CAB, and grey literature sources from inception to 25 August 2020. STUDY SELECTION: Randomized clinical trials evaluating LCDs (<130 g/day or

Background: The risk of sustaining a contra-lateral anterior cruciate ligament (C-ACL) injury after primary unilateral ACL injury is high. C-ACL injury often contributes to a further decline in function and quality of life, including failure to return to sport. There is, however, very limited knowledge about which risk factors that contribute to C-ACL injury. Objective: To systematically review in

Major clinical centers in Sweden have witnessed an inflow of patients with chronic symptoms following initial outpatient care for coronavirus disease-2019 (COVID-19) infection, suggestive of postural orthostatic tachycardia syndrome. This report presents the first case series of 3 Swedish patients diagnosed with postural orthostatic tachycardia syndrome more than 3 months after the primary COVID-2

We compare classic scalar temporal difference learning with three new distributional algorithms for playing the game of 5-in-a-row using deep neural networks: distributional temporal difference learning with constant learning rate, and two distributional temporal difference algorithms with adaptive learning rate. All these algorithms are applicable to any two-player deterministic zero sum game and

Background: Radical prostatectomy reduces mortality among patients with localised prostate cancer. Evidence on whether different surgical techniques can affect mortality rates is lacking. Objective: To evaluate functional and oncological outcomes 8 yr after robot-assisted laparoscopic prostatectomy (RALP) and open retropubic radical prostatectomy (RRP). Design, setting, and participants: We enroll

In their studies of collective exploitation of common-pool resources, Ostrom and other scholars have stressed the importance of sanctioning as an essential method for preventing overuse and, eventually, the collapse of commons. However, most of the available evidence is based on data covering a relatively small period in history, and thus does not inform us about the evolution of rules, including

OBJECTIVES: This study sought to identify homogenous echocardiographic phenotypes in community-based cohorts and assess their association with outcomes.BACKGROUND: Asymptomatic cardiac dysfunction leads to a high risk of long-term cardiovascular morbidity and mortality; however, better echocardiographic classification of asymptomatic individuals remains a challenge.METHODS: Echocardiographic pheno

Transition between stream and droplet regimes in a coflow is typically achieved by adjusting the capillary numbers (Ca) of the phases. Remarkably, we experimentally evidence a reversible transition between the two regimes by controlling exposure of the system to acoustic standing waves, with Ca fixed. By satisfying the ratio of acoustic radiation force to the interfacial tension force, , experimen

Traumatic brain injury and stroke result in hemiplegia, hemiparesis, and asymmetry in posture. The effects are mostly contralateral; however, ipsilesional deficits may also develop. We here examined whether ablation brain injury and controlled cortical impact (CCI), a rat model of clinical focal traumatic brain injury, both centered over the left or right sensorimotor cortex, induced hindlimb post

Background: Several aggregate data meta-analyses have provided estimates of the effectiveness of influenza vaccination in community-dwelling elderly people. However, these studies ignored the effects of patient-level confounders such as sex, age, and chronic diseases that could bias effectiveness estimates. We aimed to assess the confounder-adjusted effectiveness of influenza vaccines on laborator

Glucocorticoids, such as dexamethasone and prednisolone, are widely used in cancer treatment. Different hematological malignancies respond differently to this treatment which, as could be expected, correlates with treatment outcome. In this study, we have used a glucocorticoid-induced gene signature to develop a deep learning model that can predict dexamethasone sensitivity. By combining gene expr

AIMS: There are few cohorts of type 1 diabetes that follow individuals over more than half a century in terms of health outcomes. The aim of this study was to examine associations between type 1 diabetes, diagnosed before age 18, and long-term morbidity and mortality, and to investigate whether cognitive ability plays a role in long-term morbidity and mortality risk.METHODS: In a Swedish cohort, 1