16 research outputs found
Riociguat treatment in patients with chronic thromboembolic pulmonary hypertension: Final safety data from the EXPERT registry
Objective: The soluble guanylate cyclase stimulator riociguat is approved for the treatment of adult patients with pulmonary arterial hypertension (PAH) and inoperable or persistent/recurrent chronic thromboembolic pulmonary hypertension (CTEPH) following Phase
Federated learning for predicting clinical outcomes in patients with COVID-19
Federated learning (FL) is a method used for training artificial intelligence models with data from multiple sources while maintaining data anonymity, thus removing many barriers to data sharing. Here we used data from 20 institutes across the globe to train a FL model, called EXAM (electronic medical record (EMR) chest X-ray AI model), that predicts the future oxygen requirements of symptomatic patients with COVID-19 using inputs of vital signs, laboratory data and chest X-rays. EXAM achieved an average area under the curve (AUC) >0.92 for predicting outcomes at 24 and 72 h from the time of initial presentation to the emergency room, and it provided 16% improvement in average AUC measured across all participating sites and an average increase in generalizability of 38% when compared with models trained at a single site using that site's data. For prediction of mechanical ventilation treatment or death at 24 h at the largest independent test site, EXAM achieved a sensitivity of 0.950 and specificity of 0.882. In this study, FL facilitated rapid data science collaboration without data exchange and generated a model that generalized across heterogeneous, unharmonized datasets for prediction of clinical outcomes in patients with COVID-19, setting the stage for the broader use of FL in healthcare
Riociguat treatment in patients with pulmonary arterial hypertension: Final safety data from the EXPERT registry
International audienc
Riociguat treatment in patients with chronic thromboembolic pulmonary hypertension: Final safety data from the EXPERT registry
International audienc
A selection of Slovenian literary heroes for the preschool period
V vrtcih slovenske literarne junake vse bolj spodrivajo tuji fantazijski junaki, za katere se otroci navdušijo prek risank, revij in video igric. Slovenski junaki so pomemben del naše kulture in so lahko nekakšni spremljevalci v domovinski vzgoji pri najmlajših. To delo naj služi kot promocija slovenskih literarnih junakov pri otrocih vseh starosti, z začetkom v predšolskem obdobju. V delu je opredeljeno merilo izbire likovpredstavljene so njihove zgodbe, posebne lastnosti in upodobitevjunaki so po izvoru opredeljeni kot ljudski ali umetninavedeni so avtorji in zgodovinske okoliščine nastankaraziskane so njihova prepoznavnost in zastopanost v različnih medijih (slikanice, avdio- in video mediji, oglasi) ter dostopnost teh medijev.In preschools, Slovenian literary heroes are being displaced by foreign fantastic heroes that impress children via cartoons, magazines and video games. Slovenian heroes are an important part of our culture and can act as companions of sorts within citizenship education of youngsters. This thesis should serve as a promotion of Slovenian literary heroes for children of all ages, beginning with the preschool period. The thesis defines the selection criterion of charactersit introduces their stories, special characteristics and depictionsit defines heroes by origin as folk or artificialit lists the authors and historical circumstances of productionit investigates their recognisability and representation in various media (picture books, audio- and video media, advertisements) and the accessibility of these media
Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33
Genome-wide association studies (GWAS) have mapped risk alleles for at
least 10 distinct cancers to a small region of 63 000 bp on chromosome
5p15.33. This region harbors the TERT and CLPTM1L genes; the former
encodes the catalytic subunit of telomerase reverse transcriptase and
the latter may play a role in apoptosis. To investigate further the
genetic architecture of common susceptibility alleles in this region, we
conducted an agnostic subset-based meta-analysis (association analysis
based on subsets) across six distinct cancers in 34 248 cases and 45 036
controls. Based on sequential conditional analysis, we identified as
many as six independent risk loci marked by common single-nucleotide
polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 x
10(-39); Region 3: rs2853677, P = 3.30 x 10(-36) and P-Conditional =
2.36 x 10(-8); Region 4: rs2736098, P = 3.87 x 10(-12) and P-Conditional
= 5.19 x 10(-6), Region 5: rs13172201, P = 0.041 and P-Conditional =
2.04 x 10(-6); and Region 6: rs10069690, P = 7.49 x 10 215 and
P-Conditional = 5.35 x 10(-7)) and one in the neighboring CLPTM1L
gene(Region 2: rs451360; P = 1.90 x 10(-18) and P-Conditional = 7.06 x
10(-16)). Between three and five cancers mapped to each independent
locus with both risk-enhancing and protective effects. Allele-specific
effects on DNA methylation were seen for a subset of risk loci,
indicating that methylation and subsequent effects on gene expression
may contribute to the biology of risk variants on 5p15.33. Our results
provide strong support for extensive pleiotropy across this region of
5p15.33, to an extent not previously observed in other cancer
susceptibility loci