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Outcome prediction of prostate cancer patients on active surveillance using weakly supervised deep learning

To avoid over-treatment of prostate cancer patients following screening for elevated prostate-specific antigen (PSA) levels, keeping patients on active surveillance has been suggested as an alternative to radical treatment. This means reoccurring visits for patients with low-grade cancer to monitor progression. The Prostate Cancer Research International Active Surveillance (PRIAS) study was initia

Hemlig dataavläsning - statliga virus i frihetens och öppenhetens tjänst... eller?

Debattartikel om utredningsdirektiv för lagstiftning om hemlig dataavläsning. Artikeln diskuterar den principiellt viktiga frågan om hur långt man kan gå för att skydda ett öppet och fritt demokratisk samhälle med polisiära övervakningsbefogenheter innan det där fria och öppna börja tummas på av själva befogenheterna, och tar utöver den avvägningsproblematiken upp risken med att upprätthålla säker

Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies

In recent years, the combination of the digitization of the field of pathology and increased computational power has led to a big increase in research of computer-aided diagnostics using systems based on artificial intelligence (AI). This includes detection and classification of prostate cancer, where several studies have shown great promise in automated prostate cancer grading using deep learning

Data-driven microscopy allows for automated context-specific acquisition of high-fidelity image data

Light microscopy is a powerful single-cell technique that allows for quantitative spatial information at subcellular resolution. However, unlike flow cytometry and single-cell sequencing techniques, microscopy has issues achieving high-quality population-wide sample characterization while maintaining high resolution. Here, we present a general framework, data-driven microscopy (DDM) that uses real

Familjecentrerad vård och barncentrerad vård

En femtedel av Sveriges befolkning är barn i åldrarna 0–17 år, totalt drygt 1,9 miljoner. Barndomen är den socialiseringsprocess där barn utvecklas till unika individer och blir en del av samhället. Kulturella sammanhang påverkar barns känsla av samhörighet och av att höra hemma någonstans. Synen på barn och hur de behandlas, också när de är sjuka, påverkas därmed av ett flertal historiska, kultur

Phenotypic characterization of acoustically enriched extracellular vesicles from pathogen-activated platelets

Extracellular vesicles (EVs) are derived from the membrane of platelets and released in the circulation upon activation or injury. Analogous to the parent cell, platelet derived EVs play an important role in hemostasis and immune responses by transfer of bioactive cargo from the parent cells. Platelet activation and release of EVs increases in several pathological inflammatory diseases, such as se

Varför är den svenska kronan så svag mot euron?

Kronan har försvagats mot euron under tio års tid. Detta har på sistone utlöst enintensiv debatt. Deprecieringen har tagits som intäkt för att Sverige bör ersättakronan med euron. Vi studerar här faktorerna bakom kronförsvagningen. Vårslutsats är att den i huvudsak beror på att inflationen i Sverige varit högre äni euroområdet. Denna process är kopplad till en mer expansiv penningpolitik iSverige.

Enbart avstånd och handhygien räcker inte

I denna debattartikel lyfter sex forskare frågan att myndigheter och branschorganisationer delvis gav olika råd kring åtgärder för att begränsa risken för smittspridning inomhus. För att klara nästa pandemi krävs bättre samordning av riktlinjer kring ventilation och luftkvalitet.

Compositional editing of extracellular matrices by CRISPR/Cas9 engineering of human mesenchymal stem cell lines

Tissue engineering strategies predominantly rely on the production of living substitutes, whereby implanted cells actively participate in the regenerative process. Beyond cost and delayed graft availability, the patient-specific performance of engineered tissues poses serious concerns on their clinical translation ability. A more exciting paradigm consists in exploiting cell-laid, engineered extra

IFNγ+ NKT-like cells are associated with increased incidence of atrial fibrillation in elderly women

Aims T cells are present in atrial tissue from atrial fibrillation (AF) patients. However, prospective studies of T cells and AF development are few. The current aim was to investigate if T-cell subsets are associated with the risk of developing AF. Methods and results T-cell subsets, measured by flow cytometry of cryopreserved mononuclear leucocytes isolated from blood at baseline, were analysed

Accessing the proteome of extracellular vesicles via rapid acoustic isolation of a minute human blood plasma sample

Background: Despite substantial progress in the field of mass spectrometry, there remain barriers to measuring the extracellular vesicles (EVs) proteome in blood plasma. Recent work has shown that isolating EVs can make it possible to detect proteins that have low abundance in plasma. Commonly used EV isolation methods either require large sample volumes and long ultracentrifugation times, or else

Transfer learning for predicting acute myocardial infarction using electrocardiograms

At the emergency department, it is important to quickly and accurately identify patients at risk of acute myocardial infarction (AMI). One of the main tools for detecting AMI is the electrocardiogram (ECG), which can be difficult to interpret manually. There is a long history of applying machine learning algorithms to ECGs, but such algorithms are quite data hungry, and correctly labeled high-qual

Comprehensive molecular comparison of BRCA1 hypermethylated and BRCA1 mutated triple negative breast cancers

Homologous recombination deficiency (HRD) is a defining characteristic in BRCA-deficient breast tumors caused by genetic or epigenetic alterations in key pathway genes. We investigated the frequency of BRCA1 promoter hypermethylation in 237 triple-negative breast cancers (TNBCs) from a population-based study using reported whole genome and RNA sequencing data, complemented with analyses of genetic

Walk after stroke: initial development of a step counting game for stroke survivors

This paper presents work done within the EU project STARR. Within the framework of the project technologies to empower and support stroke survivors are developed. We report on the iterative development of an outdoor activity game for stroke survivors, and discuss design choices, experiences from the initial testing and outline potential future developments.

Lagen som evangelium? Den nya synen på Paulus och judendomen

I den här boken visar författaren hur flera historiska och teologiska faktorer samverkat till att skapa bilden av motsatsförhållandet mellan judendom och kristendom, vilket starkt bidragit till den idétradition som möjliggjorde Förintelsen och som fortfarande lever kvar inom kyrka och akademi. Enligt den traditionella synen har kristendomen uppfattats som judendomens definitiva motsats. Vanligtvis

Lagprövning i Sverige och Tyskland – hur hade vår lagprövning kunnat vara?

This essay concerns the use of judicial preview and review in Sweden and Germany. First, it is presented how judicial preview and review works in each respective system, and then the procedure of the enactment of a law is presented. In the analysis it is discussed how differently the law would've been treated, if Sweden had the same judicial review as in Germany. The conclusion is that the gr

EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text

Medical research generates a large number of publications with the PubMed database already containing >35 million research articles. Integration of the knowledge scattered across this large body of literature could provide key insights into physiological mechanisms and disease processes leading to novel medical interventions. However, it is a great challenge for researchers to utilize this informa