About this document
JCM 11 07154 v2 by umair.younas.0057 is a document available to read on EtoBox.
This study presents a novel non-invasive method for predicting autism spectrum disorder (ASD) risk using elemental analysis of hair samples collected at 1 month of age. The research involved multiple international centers and demonstrated a predictive algorithm with 96.4% sensitivity and 75.4% specificity, indicating that elemental metabolism dynamics can be detected early in infants. The findings highlight the potential for early intervention in ASD, which is critical for effective therapy and developmenta
- Author
- umair.younas.0057
- Language
- EN