dailyai.report

Researchers used height data from 1,096 children to build a predictive model for growth hormone deficiency and Turner syndrome. The system applies non-linear mixed models to individual growth curves across five age ranges. This approach achieved strong discrimination and calibration. It provides primary care clinicians a concrete tool for earlier detection of pediatric growth disorders.