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Emerging affinity-based proteomic technologies for large-scale plasma profiling in cardiovascular disease
Plasma biomarkers that reflect molecular states of the cardiovascular system are central for clinical decision making. Routinely used plasma biomarkers include troponins, natriuretic peptides, and lipoprotein particles, yet interrogate only a modest subset of pathways relevant to cardiovascular disease. Systematic profiling of a larger portion of circulating plasma proteins (the plasma proteome) w
Androgen receptor expression and breast cancer mortality in a population-based prospective cohort
Purpose: The increase in clinical trials with androgen receptor (AR)-targeting drugs emphasizes the need of clarifying the role of AR expression in different breast cancer subtypes. AR confers good prognosis in estrogen receptor positive (ER+) breast cancer, but its role in ER-negative (ER−) breast cancer is unclear. The aim of this study was to elaborate on previous findings of a differential pro
Heritability of Atrial Fibrillation
Background - Previous reports have implicated multiple genetic loci associated with AF, but the contributions of genome-wide variation to AF susceptibility have not been quantified. Methods and Results - We assessed the contribution of genome-wide single-nucleotide polymorphism variation to AF risk (single-nucleotide polymorphism heritability, h2 g) using data from 120 286 unrelated individuals of
Planned cesarean section vs planned vaginal delivery among women without formal medical indication for planned cesarean section : A retrospective cohort study of maternal short-term complications
Introduction: Rates of delivery by cesarean section have gradually risen in many parts of the world, and it is regarded as a safe surgical procedure with expanded indications. We assessed maternal complications within 6 weeks postpartum after planned cesarean section and after planned vaginal delivery among patients without medical indication for cesarean section. Material and methods: This was a
Experiential and linguistic investment in choice making
Outcomes in Emergency Department Patients with Dyspnea versus Chest Pain : A Retrospective Consecutive Cohort Study
Dyspnea and chest pain are major and important causes of contact at the emergency department (ED). Dyspnea is associated with high morbidity and mortality, but data on characteristics and outcomes compared with chest pain in the ED are limited. This was a retrospective cohort study of consecutive patients with contact causes of dyspnea or chest pain at two Swedish EDs from 2010 to 2014. Hospital a
Compositional analysis of oxide-embedded III-V nanostructures
Nanowire growth enables creation of embedded heterostructures, where one material is completely surrounded by another. Through materials-selective post-growth oxidation it is also possible to combine amorphous oxides and crystalline, e.g. III-V materials. Such oxide-embedded structures pose a challenge for compositional characterization through transmission electron microscopy since the materials
Incremental Value of a Panel of Serum Metabolites for Predicting Risk of Atherosclerotic Cardiovascular Disease
Crisis and Public Support for the Euro, 1999–2014
This contribution analyses the evolution of public support for the single European currency, the euro, from 1990 to 2014 for a 12-country sample of the euro area (EA-12), focusing on the most recent period of the financial and sovereign debt crisis, starting in 2008. We find that citizens’ support for the euro on average was marginally reduced during the first six years of the crisis, and that sup
Artificial intelligence : — a vehicle or an obstacle on our path to a sustainable future?
Many people and organizations across the globe work towards a sustainable future. Artificial intelligence (AI) can be a powerful tool in their efforts.AI technologies, which aim to imitate the natural intelligence of humans and animals, have made enormous progress in the past decade. AI has brought us a whole range of futuristic tools — from self-driving cars to virtual assistants, smart home appl
AIB1 is a new putative prognostic biomarker in the luminal A and B-like (HER2-negative) classification of invasive lobular carcinoma
Body: Background: Estrogen receptor (ER) positive HER2-negative breast cancer comprises 75–80% of all breast cancer. Thisfraction is even higher (>90%) in invasive lobular carcinoma (ILC). According to the St Gallen surrogate definitions of the intrinsicsubtypes, Ki67 and progesterone receptor (PgR) are used to classify these tumors as luminal A- and luminal B-like(HER2-negative). These guidelines
Validation of the Skåne University Hospital nomogram for the preoperative prediction of a disease-free axilla in patients with breast cancer
BACKGROUND: Axillary staging via sentinel lymph node biopsy (SLNB) is performed for clinically node-negative (N0) breast cancer patients. The Skåne University Hospital (SUS) nomogram was developed to assess the possibility of omitting SLNB for patients with a low risk of nodal metastasis. Area under the receiver operating characteristic curve (AUC) was 0.74. The aim was to validate the SUS nomogra
The PROCEM study protocol : Added value of preoperative contrast-enhanced mammography in staging of malignant breast lesions - a prospective randomized multicenter study
Background: Correct preoperative estimation of the malignant extent is crucial for optimal planning of breast cancer surgery. The sensitivity of mammography is lower in dense breasts, and additional imaging techniques are sometimes warranted. Contrast-enhanced mammography (CEM) has shown similar sensitivity and in some cases better specificity, than magnetic resonance imaging (MRI) in small, obser
An Oscillator with Inductively Coupled Resonators for Readout of Stretchable Resistive Strain Sensor
This paper proposes a wireless and stretchable sensor which uses an oscillator with an inductively coupled resonator. By delving into the malleable nature of these cutting-edge electronics, we determine the most effective circuit parameters to optimize signal behavior for specific applications. The findings showed that the simulated frequency shift sensitivity to variations in sensor resistance in
Caregiver burden due to long-term breathlessness : a hypothesis-generating study
Precision medicine for cardiometabolic disease : a framework for clinical translation
Cardiometabolic disease is a major threat to global health. Precision medicine has great potential to help to reduce the burden of this common and complex disease cluster, and to enhance contemporary evidence-based medicine. Its key pillars are diagnostics; prediction (of the primary disease); prevention (of the primary disease); prognosis (prediction of complications of the primary disease); trea
Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems
In healthcare, data privacy of patients regulations prohibits data from being moved outside the hospital, preventing international medical datasets from being centralized for AI training. Federated learning (FL) is a data privacy-focused method that trains a global model by aggregating local models from hospitals. Existing FL techniques adopt a central server-based network topology, where the serv
The case for precision medicine in the prevention, diagnosis, and treatment of cardiometabolic diseases in low-income and middle-income countries
Cardiometabolic diseases are the leading preventable causes of death in most geographies. The causes, clinical presentations, and pathogenesis of cardiometabolic diseases vary greatly worldwide, as do the resources and strategies needed to prevent and treat them. Therefore, there is no single solution and health care should be optimised, if not to the individual (ie, personalised health care), the
