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Št. zadetkov: 5
Izvirni znanstveni članek
Oznake: stroke;metabolomics;breath;VOCs;inflammation;
Inflammation is strongly implicated in both injury and repair processes occurring after stroke. In this exploratory study we assessed the feasibility of repeated sampling of exhaled volatile organic compounds and performed an untargeted metabolomic analysis of plasma collected at multiple time perio ...
Leto: 2021 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake: breath;diagnosis;ventilator-associated pneumonia;
Ventilator-associated pneumonia commonly occurs in critically ill patients. Clinical suspicion results in overuse of antibiotics, which in turn promotes antimicrobial resistance. Detection of volatile organic compounds in the exhaled breath of critically ill patients might allow earlier detection of ...
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Kratki znanstveni prispevek
Oznake: ventilator-associated pneumonia;breath analysis;volatile organic compounds;metabolomics;intensive care;hospital acquired infections;
Patients suspected of ventilator-associated lower respiratory tract infections (VA-LRTIs) commonly receive broad-spectrum antimicrobial therapy unnecessarily. We tested whether exhaled breath analysis can discriminate between patients suspected of VA-LRTI with confirmed infection, from patients with ...
Leto: 2021 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake: metabolomics;frailty;ageing;LC-MS;serum;
Global ageing poses a substantial economic burden on health and social care costs. Enabling a greater proportion of older people to stay healthy for longer is key to the future sustainability of health, social and economic policy. Frailty and associated decrease in resilience plays a central role in ...
Leto: 2019 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning
Learning sparse structure is useful in many applications. For example, gene regulatory networks are sparsely connected since each gene is typically only regulated by a small number of other genes. In this case factor analysis models with sparse loading matrices have been used to uncover the regulato ...
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 5
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