Systems Precision Medicine: Putting the Pieces Back Together

L. Farina
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Abstract

Systems precision medicine is an interdisciplinary approach that recognises the complexity of diseases and emphasises the integration of clinical knowledge, multi-omics data, analytical models, and the expertise of physicians and data analysts to personalise the care pathway in complex diseases, such as cancer or diabetes. The aim is to gain a comprehensive understanding of diseases by analysing individual components and identifying relevant aspects for therapy and diagnosis. Key components, their interactions and emerging patterns can be studied using statistical, mathematical and computational tools. The combination of data analysis and clinical evaluation is crucial to effective decision-making, emphasising the need for an integrative approach rather than relying on data alone. Therefore, the crucial point discussed in this paper is that the “computational” part and the “artistic” part (i.e., the physician’s intuition) cannot be separated, and therefore, systems precision medicine can be configured as a collective work of art, involving not only different medical professionals but also, and above all, professional data analysts. The work is “artistic” because data and mathematics alone, without medical knowledge of the context, are not enough. But the work is also “collective” in the sense that it must be the place of cultural integration between the professional intuition of the physician, which cannot be translated into mathematical formulas, and the ability to extract information from multi-omics data of the data analysts, who instead use formal and computational mathematical methods. However, to drive the medical revolution and reassemble a patient’s parts, data analysts need to be involved in the hospital context, and precision medicine physicians should embrace data analytical perspectives. This will require ongoing dialogue, new languages of communication, and education that promotes continuous learning and collaboration between professions, fostering a new level of interdisciplinary collaboration for personalised care.
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精准医疗系统:将碎片重新组合在一起
系统精准医学是一种跨学科的方法,它认识到疾病的复杂性,强调临床知识、多组学数据、分析模型以及医生和数据分析师的专业知识的整合,以个性化复杂疾病(如癌症或糖尿病)的护理途径。其目的是通过分析单个组成部分和确定治疗和诊断的相关方面,获得对疾病的全面了解。可以使用统计、数学和计算工具来研究关键组件、它们之间的相互作用和新出现的模式。数据分析和临床评估的结合对于有效决策至关重要,强调需要综合方法而不是单独依赖数据。因此,本文讨论的关键点是,“计算”部分和“艺术”部分(即医生的直觉)不能分开,因此,系统精准医疗可以配置为一个集体的艺术作品,不仅涉及不同的医疗专业人员,而且最重要的是,专业数据分析师。这项工作是“艺术”的,因为只有数据和数学,没有医学背景知识,是不够的。但这项工作也是“集体”的,因为它必须是医生的专业直觉(不能转化为数学公式)和数据分析师从多组学数据中提取信息的能力之间的文化整合的地方,而数据分析师则使用正式的计算数学方法。然而,为了推动医疗革命并重组患者的各个部分,数据分析师需要参与到医院环境中,而精准医学医生应该接受数据分析的观点。这将需要持续的对话,新的沟通语言,以及促进专业之间持续学习和合作的教育,为个性化护理培养新的跨学科合作水平。
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