In a recently published paper from Psychological Medicine led by EDEN Lab post-doc, Yael Paz, data from the Family Life Project was analyzed using machine learning to identify which measures of parenting assessed at numerous times across infancy and childhood were most predictive of CU traits in early adolescence. Findings from this study underscore the risk of disruptions in close and sensitive early parent–child relationships for the development of CU traits. Click the link to read the full article: https://www.cambridge.org/core/journals/psychological-medicine/article/using-machine-learning-to-identify-parenting-features-prospectively-related-to-callousunemotional-traits-from-infancy-to-early-adolescence/E28B7161842FB32C74366CCFE93E8820