BACKGROUND Precision medicine (PM) is an emerging approach to individualized care. It aims to help physicians better comprehend and predict the needs of their patients while effectively adopting in a timely manner the most suitable treatment by promoting the sharing of health data and the implementation of learning healthcare systems. Alongside its promises, PM also entails the risk of exacerbating healthcare inequalities, in particular between ethnoracial groups. One often-neglected underlying reason why this might happen is the impact of structural racism on PM initiatives. Raising awareness as to how structural racism can influence PM initiatives is paramount to avoid that PM ends up reproducing the pre-existing health inequalities between different ethnoracial groups and contributing to the loss of trust in healthcare by minority groups. MAIN BODY We analyse three nodes of a process flow where structural racism can affect PM's implementation. These are: (i) the collection of biased health data during the initial encounter of minority groups with the healthcare system and researchers, (ii) the integration of biased health data for minority groups in PM initiatives and (iii) the influence of structural racism on the deliverables of PM initiatives for minority groups. We underscore that underappreciation of structural racism by stakeholders involved in the PM ecosystem can be at odds with the ambition of ensuring social and racial justice. Potential specific actions related to the analysed nodes are then formulated to help ensure that PM truly adheres to the goal of leaving no one behind, as endorsed by member states of the United Nations for the 2030 Agenda for Sustainable Development. CONCLUSION Structural racism has been entrenched in our societies for centuries and it would be naïve to believe that its impacts will not spill over in the era of PM. PM initiatives need to pay special attention to the discriminatory and harmful impacts that structural racism could have on minority groups involved in their respective projects. It is only by acknowledging and discussing the existence of implicit racial biases and trust issues in healthcare and research domains that proper interventions to remedy them can be implemented.

中文翻译：

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精密医学中的结构种族主义：不遗余力。

背景技术精密医学（PM）是个体护理的新兴方法。它旨在帮助医生更好地理解和预测患者的需求，同时通过促进健康数据的共享和学习型医疗系统的实施，及时有效地采用最合适的治疗方法。除了承诺，PM还带来了加剧医疗保健不平等的风险，特别是在种族群体之间。可能会发生这种情况的一个经常被忽略的根本原因是结构种族主义对PM计划的影响。至关重要的是，提高对结构性种族主义如何影响自我管理倡议的认识，可以避免自我管理最终重现不同种族群体之间先前存在的健康不平等现象，并导致少数群体失去对医疗保健的信任。主要主体我们分析流程中的三个节点，结构种族主义会影响PM的实施。这些是：（i）在少数群体与医疗保健系统和研究人员初次接触时收集有偏见的健康数据，（ii）将少数群体有偏见的健康数据整合到PM计划中，以及（iii）结构性种族主义的影响关于针对少数群体的PM计划的可交付成果。我们强调，参与PM生态系统的利益相关者对结构种族主义的低估可能与确保社会和种族正义的野心相抵触。然后制定与被分析节点有关的潜在特定操作，以帮助确保PM真正遵守不遗余力，联合国会员国认可的《 2030年可持续发展议程》。结论结构性种族主义已经在我们的社会中根深蒂固，几个世纪以来，我们天真地相信它的影响不会在PM时代蔓延开来。预防犯罪举措必须特别注意结构性种族主义可能对参与其各自项目的少数群体的歧视性和有害影响。只有承认并讨论医疗和研究领域内隐性种族偏见和信任问题的存在，才能实施适当的干预措施来补救它们。预防犯罪举措必须特别注意结构性种族主义可能对参与其各自项目的少数群体的歧视性和有害影响。只有承认并讨论医疗和研究领域内隐性种族偏见和信任问题的存在，才能实施适当的干预措施来纠正它们。预防犯罪举措必须特别注意结构性种族主义可能对参与其各自项目的少数群体的歧视性和有害影响。只有承认并讨论医疗和研究领域内隐性种族偏见和信任问题的存在，才能实施适当的干预措施来补救它们。