Precision health refers to the use of individualised biomarkers or predictive models to provide more tailored information about an individual's likely prognosis. For child psychiatry and psychology, we argue that this approach requires a focus on neurocognitive measures collected in early life and at large scale. However, the large sample sizes necessary to uncover individual‐level predictors are currently rare in studies of neurodevelopmental conditions in early childhood. We recommend two strategies going forward: first, including neurocognitive measures in new national cohort studies, and second, synergising measures and data across currently funded longitudinal studies.

中文翻译：

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编辑观点：早期开发中精准健康的悖论——构建大样本以产生个体水平的测量

精准健康是指使用个体化生物标志物或预测模型来提供有关个体可能预后的更量身定制的信息。对于儿童精神病学和心理学，我们认为这种方法需要关注在生命早期大规模收集的神经认知测量。然而，目前在幼儿期神经发育状况的研究中，揭示个体水平预测因素所需的大样本量很少。我们建议采取两种策略：第一，在新的国家队列研究中纳入神经认知测量；第二，在当前资助的纵向研究中协同测量和数据。