Precision diagnostics in children.

Cambridge prisms, Precision medicine Pub Date : 2023-02-03 eCollection Date: 2023-01-01 DOI:10.1017/pcm.2023.4
Paul Dimitri
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Abstract

Medical practice is transforming from a reactive to a pro-active and preventive discipline that is underpinned by precision medicine. The advances in technologies in such fields as genomics, proteomics, metabolomics, transcriptomics and artificial intelligence have resulted in a paradigm shift in our understanding of specific diseases in childhood, greatly enhanced by our ability to combine data from changes within cells to the impact of environmental and population changes. Diseases in children have been reclassified as we understand more about their genomic origin and their evolution. Genomic discoveries, additional 'omics' data and advances such as optical genome mapping have driven rapid improvements in the precision and speed of diagnoses of diseases in children and are now being incorporated into newborn screening, have improved targeted therapies in childhood and have supported the development of predictive biomarkers to assess therapeutic impact and determine prognosis in congenital and acquired diseases of childhood. New medical device technologies are facilitating data capture at a population level to support higher diagnostic accuracy and tailored therapies in children according to predicted population outcome, and digital ecosystems now tailor therapies and provide support for their specific needs. By capturing biological and environmental data as early as possible in childhood, we can understand factors that predict disease or maintain health and track changes across a more extensive longitudinal path. Data from multiple health and external sources over long-time periods starting from birth or even in the in utero environment will provide further clarity about how to sustain health and prevent or predict disease. In this respect, we will not only use data to diagnose disease, but precision diagnostics will aid the 'diagnosis of good health'. The principle of 'start early and change more' will thus underpin the value of applying a personalised medicine approach early in life.

儿童精准诊断
医疗实践正在从被动反应转变为以精准医疗为基础的主动预防学科。基因组学、蛋白质组学、代谢组学、转录组学和人工智能等领域技术的进步,使我们对儿童特定疾病的认识发生了范式转变,我们将细胞内变化数据与环境和人口变化影响数据相结合的能力大大增强。随着我们对儿童疾病的基因组起源和演变有了更多的了解,儿童疾病也被重新分类。基因组学的发现、更多的 "全息 "数据以及光学基因组图谱等技术的进步,推动了儿童疾病诊断的精确度和速度的快速提高,目前已被纳入新生儿筛查,改善了儿童的靶向治疗,并支持了预测性生物标志物的开发,以评估治疗效果并确定儿童先天性和后天性疾病的预后。新的医疗设备技术正在促进人口层面的数据采集,以支持更高的诊断准确性,并根据预测的人口结果为儿童量身定制治疗方案。通过尽早获取儿童时期的生物和环境数据,我们可以了解预测疾病或维持健康的因素,并在更广泛的纵向路径中跟踪变化。从出生开始,甚至从子宫内环境开始,长期从多种健康和外部来源获取数据,将进一步明确如何保持健康、预防或预测疾病。在这方面,我们不仅要利用数据来诊断疾病,精准诊断还将有助于 "诊断健康"。因此,"早开始,多改变 "的原则将巩固在生命早期应用个性化医疗方法的价值。
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