Publications by authors named "S F Reuter"

Background: Using primary airway epithelial cells (AEC) is essential to mimic more closely different types and stages of lung disease in humans while reducing or even replacing animal experiments. Access to lung tissue remains limited because these samples are generally obtained from patients who undergo lung transplantation for end-stage lung disease or thoracic surgery for (mostly) lung cancer. We investigated whether forceps or cryo biopsies are a viable alternative source of AEC compared to the conventional technique.

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Unlabelled: Timely diagnostic tools are needed to improve antibiotic treatment. Pairing metagenomic sequencing with genomic neighbor typing algorithms may support rapid clinically actionable results. We created resistance-associated sequence elements (RASE) databases for and .

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AI-based methods to generate images have seen unprecedented advances in recent years challenging both image forensic and human perceptual capabilities. Accordingly, these methods are expected to play an increasingly important role in the fraudulent fabrication of data. This includes images with complicated intrinsic structures such as histological tissue samples, which are harder to forge manually.

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Background: Hypersensitivity to odorants like perfumes can induce or promote asthma with non-type 2 inflammation for which therapeutic options are limited. Cell death of primary bronchial epithelial cells (PBECs) and the release of the pro-inflammatory cytokines interleukin-6 (IL-6) and IL-8 are key in the pathogenesis. Extra-nasal olfactory receptors (ORs) can influence cellular processes involved in asthma.

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Article Synopsis
  • The study investigates the use of automated image analysis for assessing microcirculation during major surgeries, specifically comparing it to a well-established manual analysis method to see how accurately it measures microcirculatory parameters.* -
  • Researchers recorded sublingual microcirculation videos from patients at various stages around surgery, analyzing a total of 336 videos and assessing the agreement between the automated and manual analysis methods through statistical measures.* -
  • Results indicated poor agreement between the two analysis methods, suggesting that the automated system is not reliable for clinical use, indicating the need for further development or improvement in the automated technology.*
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