Publications by authors named "A C Henningsson"

The impact of the emerging tick-borne pathogen Borrelia miyamotoi is not fully understood. We utilised a protein array to investigate B. miyamotoi seroreactivity in various human populations in the Netherlands and Sweden.

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Article Synopsis
  • Researchers developed a predictive model called the Pre-ECPR score to enhance patient selection for extracorporeal cardiopulmonary resuscitation (ECPR), which currently only has a favorable outcome rate of about 20%.
  • The study analyzed data from 120 normothermic ECPR patients at a single hospital and found that the Pre-ECPR score, using various health indicators, outperformed existing selection criteria from the Extracorporeal Life Support Organization (ELSO).
  • The Pre-ECPR score achieved a strong predictive ability (AUC of 0.87) for identifying patients likely to have good outcomes, significantly boosting the chances of successful ECPR treatment over traditional methods.
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Strength, ductility, and failure properties of metals are tailored by plastic deformation routes. Predicting these properties requires modeling of the structural dynamics and stress evolution taking place on several length scales. Progress has been hampered by a lack of representative 3D experimental data at industrially relevant degrees of deformation.

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Article Synopsis
  • - The study aims to enhance a machine learning model that predicts survival chances for patients experiencing out-of-hospital cardiac arrest (OHCA), addressing a significant health issue with only 10% survival post-ICU treatment.
  • - Researchers analyzed over 55,600 OHCA cases from the Swedish Cardiopulmonary Resuscitation Registry, evaluating various predictive models like LightGBM and XGB, focusing on their ability to reduce false negatives and improve overall prediction accuracy.
  • - The refined model achieved a high receiver operating characteristic score (AUC ROC of 0.96), demonstrating strong calibration and reliability, especially in low likelihood survival scenarios (0-10%), and is accessible for use at www.gocares.se. *
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