Machine Learning Falls Short in Personalizing School-Based Mindfulness for Adolescent Depression Prevention: MYRIAD Trial Insights

Machine Learning Falls Short in Personalizing School-Based Mindfulness for Adolescent Depression Prevention: MYRIAD Trial Insights

Secondary analysis of the MYRIAD trial reveals that while machine learning models can identify adolescents who may benefit from school-based mindfulness training, the clinical relevance of such predictions remains minimal. Both causal forest and elastic net regression models detected statistically significant but practically trivial differences in outcomes.
Elevated Blood Pressure in Adolescence Predicts Dose‑Dependent Coronary Atherosclerosis in Middle Age: Implications for Early Detection and Prevention

Elevated Blood Pressure in Adolescence Predicts Dose‑Dependent Coronary Atherosclerosis in Middle Age: Implications for Early Detection and Prevention

A Swedish cohort study of 10,222 men linked adolescent blood pressure to coronary atherosclerosis by CCTA ~40 years later; higher systolic BP in adolescence, even in the ‘elevated’ range, was associated with greater odds of severe (>50%) coronary stenosis in middle age.