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.
Personalized Prehabilitation Before Major Surgery Modulates the Immune System and Lowers Complications: Translating Fitness Into an ‘Immunome’ Signal

Personalized Prehabilitation Before Major Surgery Modulates the Immune System and Lowers Complications: Translating Fitness Into an ‘Immunome’ Signal

A randomized trial found personalized, remotely coached prehabilitation improved preoperative physical and cognitive function, produced distinct immunologic dampening of inflammatory signaling, and reduced moderate-to-severe postoperative complications compared with a paper-based standard program.
Personalizing Radiotherapy in Ductal Carcinoma In Situ Using a 12-Gene Expression Assay: Insights from a Prospective Clinical Trial

Personalizing Radiotherapy in Ductal Carcinoma In Situ Using a 12-Gene Expression Assay: Insights from a Prospective Clinical Trial

This clinical trial prospectively evaluates how a 12-gene expression assay (DCIS score) guides postoperative radiotherapy decisions after breast-conserving surgery in ductal carcinoma in situ, showing tailored radiotherapy use may reduce ipsilateral breast events.