Identification of genetic biomarkers to predict perforated appendicitis in children
A groundbreaking study uses machine learning to identify genetic biomarkers to predict perforated appendicitis in children. This development has the potential to significantly improve patient management decision-making and contribute to evidence-based strategies for antibiotic stewardship. However, due to the low specificity of the biomarker, further studies are required to validate its accuracy, sensitivity, and specificity. […]