J Biomed Semantics
March 2025
Diabetes is a worldwide health issue affecting millions of people. Machine learning methods have shown promising results in improving diabetes prediction, particularly through the analysis of gene expression data. While gene expression data can provide valuable insights, challenges arise from the fact that the number of patients in expression datasets is usually limited, and the data from different datasets with different gene expressions cannot be easily combined.
View Article and Find Full Text PDFAims: Periprosthetic joint infections (PJIs) pose significant challenges to patients and healthcare systems worldwide. The aim of this study was to estimate the health-economic burden of reimbursement payment in Europe for PJIs following primary hip and knee arthroplasty.
Methods: The calculation was based on health-economic modelling using data on primary hip and knee arthroplasties for the year 2019 from the Statistical Office of the European Union (Eurostat) and published infection rates to estimate the total number of hip and knee PJIs in 30 European countries.
A 49-year-old woman presented with a 16-year history of burning pain, warmth, redness, and edema in both toes, feet, legs and calves. Despite extensive medical testing, including genetic analysis, no specific cause was identified. Initial treatments failed to improve symptoms, leading to impaired quality of life and mental health.
View Article and Find Full Text PDFC57BL/6 mice, orally infected with T. gondii, experience pronounced severe intestinal inflammation, causing necrosis, weight loss, and bacterial translocation. In addition, immunomodulatory molecules such as lipocalins, nitrophorins, and apyrases are present in R.
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