Publications by authors named "J L Schenk"
Background: Rotational thromboelastometry (ROTEM) is widely used for point-of-care coagulation testing to reduce blood transfusions. Accurate interpretation of ROTEM data is crucial and requires substantial training. This study investigates the inter- and intrarater reliability of ROTEM interpretation among experts and compares their interpretations with a ROTEM-guided algorithm.
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- The study explores how intercontinental movements of certain plant lineages (Hydrangeaceae and Loasaceae) may promote ecological opportunities and species diversity.
- Researchers reconstructed a phylogeny using molecular data and analyzed speciation rates, finding that while some clades showed increased diversification, it wasn't linked to new continental colonization.
- The findings suggest that climate change in the Miocene played a more significant role in species diversification rather than dispersal across continents, indicating that changes in habitats drove evolutionary changes instead of location shifts.
Background: Current guidelines discourage prophylactic plasma use in non-bleeding patients. This study assesses global plasma transfusion practices in the intensive care unit (ICU) and their alignment with current guidelines.
Study Design And Methods: This was a sub-study of an international, prospective, observational cohort.
Background: Thromboelastometry plays a key role in many transfusion algorithms. ROTEM® Sigma is the fully automated successor of ROTEM® Delta. Compatibility with current ROTEM® Delta-based algorithms remains uncertain.
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- Segmentation of lung structures in medical imaging is important for diagnosing and treating diseases like cystic fibrosis, with neural networks showing better results than traditional methods, but challenges remain with different imaging types and pathologies.
- This study used deep learning to segment MRI scans from pediatric cystic fibrosis patients, employing the nnU-Net framework and analyzing data from 165 scans across various sequences (BLADE, VIBE, HASTE). The analysis focused on patient variability in disease severity and age.
- Results indicated high segmentation accuracy (with Dice coefficients around 0.95-0.96) and consistent performance regardless of patient differences, although some issues with segmentation completeness were noted, particularly in the diaphragm area; the model also showed