Machine learning reveals genetic biomarkers to predict perforated appendicitis in children

Announcement of genetic biomarker for pediatric appendicitis A recent groundbreaking study utilized machine learning to identify genetic biomarkers that can predict perforated appendicitis (PA) in children. Appendicitis is a common pediatric disease that requires urgent surgical intervention, and timely and accurate diagnosis has always been a challenge, especially in the case of perforation. PA has […]

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. […]

Potential biomarkers of perforated appendicitis show association with severe sepsis

Machine learning enabled researchers to identify genetic biomarkers to predict perforated appendicitis in children with suspected appendicitis, according to a single-center prospective exploratory diagnostic study. Whole blood transcriptome analysis of 71 children reveals four genetic signatures that predict perforated rather than simple appendicitis with 85.7% accuracy, says Dr. Robert Hancock of the University of British […]