Publications by authors named "M Kriegsmann"

Article Synopsis
  • Lung cancer poses a significant health challenge globally, with patient survival rates varying widely, and this study explores the genetic factors affecting these outcomes through an analysis of germline polymorphisms in 1,464 lung adenocarcinoma patients after surgery.!* -
  • Researchers employed a Cox proportional hazard model to evaluate over seven million polymorphisms against overall survival over a 60-month period, considering key variables like age, sex, and disease stage.!* -
  • Six significant germline variants were identified, linked to gene expression regulation, indicating that certain minor alleles correspond to poorer survival outcomes; further research is needed to fully understand these genetic mechanisms in lung cancer prognosis.!*
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Background: The interest in artificial intelligence (AI) is increasing. Systematic reviews suggest that there are many machine learning algorithms in surgery, however, only a minority of the studies integrate AI applications in clinical workflows. Our objective was to design and evaluate a concept to use different kinds of AI for decision support in oncological liver surgery along the treatment path.

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Immune activation status determines non-small cell lung cancer (NSCLC) prognosis, with reported positive/negative associations for T helper type 2 (TH2) responses, including allergen-specific IgE and eosinophils. Our study seeks to explore the potential impact of these comorbid immune responses on the survival rates of patients with NSCLC. Our retrospective study used data from the Data Warehouse of the German Center for Lung Research (DZL) and Lung Biobank at Thoraxklinik Heidelberg.

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