Publications by authors named "F Schon"

After a peripheral nerve injury, Schwann cells (SCs), the myelinating glia of the peripheral nervous system, convert into repair cells that foster axonal regrowth, and then remyelinate or re-ensheath regenerated axons, thereby ensuring functional recovery. The efficiency of this mechanism depends however on the time needed for axons to regrow. Here, we show that ablation of histone deacetylase 8 (HDAC8) in SCs accelerates the regrowth of sensory axons and sensory function recovery.

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The integration of artificial intelligence (AI) into radiology aims to improve diagnostic accuracy and efficiency, particularly in settings with limited access to expert radiologists and in times of personnel shortage. However, challenges such as insufficient validation in actual real-world settings or automation bias should be addressed before implementing AI software in clinical routine. This cross-sectional study in a maximum care hospital assesses the concordance between diagnoses made by a commercial AI-based software and conventional radiological methods augmented by AI for four major thoracic pathologies in chest X-ray: fracture, pleural effusion, pulmonary nodule and pneumonia.

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Rationale And Objectives: To investigate factors influencing the success and complication rate of percutaneous transhepatic biliary drainage (PTBD).

Materials And Methods: PTBD procedures between 2017 and 2022 were enrolled retrospectively. Success rate, complications, and technical considerations were compared using Mann-Whitney U-, X-, and Fishers exact tests.

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Purpose: In Germany, approximately one-third of the harvested donor corneas are not suitable for transplantation, mostly due to insufficient endothelial cell density (ECD). The ECD can only be reliably determined after harvesting and processing of the cornea. Our group has previously developed a predictive model for corneal ECD: \( {Predicted\, ECD} = 2919-6^{\ast}\;{age}\; [{years}]-189\; [{if\, male}]\\ -7^{\ast}\;{death-to-explantation\, interval\,} [{hours}]\\ - 378\; [{if\, pseudophakic}] \;{cells/mm}^2 \).

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Article Synopsis
  • The study aimed to identify factors associated with non-alcoholic fatty liver disease (NAFLD) over five years among 307 participants with a mean age of 55.6 years.
  • Significant increases in liver fat percentage were observed, with baseline fat rising from 3.1% to 7.67% after five years, suggesting a notable risk of developing NAFLD.
  • Key risk factors identified included age, BMI, waist circumference, and diabetes, while increased physical activity acted as a protective factor against the disease.
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