Publications by authors named "H Hennig"

Traumatic pulmonary hernia is an uncommon occurrence resulting from chest trauma, typically covered by the skin. Chest trauma may arise from penetrating or blunt mechanisms, with blunt trauma being more frequently observed. When lung herniation transpires, various symptoms such as chest pain, dyspnea, subcutaneous emphysema, bone crepitation, and hemoptysis (in cases of lung parenchymal damage) may manifest.

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Article Synopsis
  • Knowledge graphs organize information as entities and their relationships, which can greatly aid in drug discovery by making biomedical data more accessible and understandable.
  • * They can enhance data visualization, generate new insights via machine learning, and provide explainable predictions, important for the field of AI.
  • * This chapter discusses factors for creating biomedical knowledge graphs, reviews recent advancements in their application for drug discovery, and explores future development opportunities.
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Article Synopsis
  • Diatoms are single-celled microalgae with silica-based cell walls, crucial for many aquatic food chains, and some can glide on surfaces using adhesive proteins.
  • Researchers identified three glycoproteins in a fouling diatom called Craspedostauros australis that were thought to play a role in adhesion but previously had unknown polypeptide sequences.
  • Through genetic transformation and tagging, it was found that these glycoproteins, named CaFAP1, do not contribute to adhesion or motility but may instead work as a lubricant to prevent fouling on the diatom's surface.
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Stored red blood cells (RBCs) are needed for life-saving blood transfusions, but they undergo continuous degradation. RBC storage lesions are often assessed by microscopic examination or biochemical and biophysical assays, which are complex, time-consuming, and destructive to fragile cells. Here we demonstrate the use of label-free imaging flow cytometry and deep learning to characterize RBC lesions.

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Background: Bone marrow stem cell clonal dysfunction by somatic mutation is suspected to affect post-infarction myocardial regeneration after coronary bypass surgery (CABG).

Methods: Transcriptome and variant expression analysis was studied in the phase 3 PERFECT trial post myocardial infarction CABG and CD133 bone marrow derived hematopoetic stem cells showing difference in left ventricular ejection fraction (∆LVEF) myocardial regeneration Responders (n=14; ∆LVEF +16% day 180/0) and Non-responders (n=9; ∆LVEF -1.1% day 180/0).

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