A digital health twin can be defined as a virtual model of a physical person, in this specific case, a patient. This virtual model is constituted by multidimensional data that can host from clinical, molecular and therapeutic parameters to sensor data and living conditions. Given that in computational pathology, it is very important to have the information from image donors to create computational models, the integration of digital twins in this field could be crucial. However, since these virtual entities collect sensitive data from physical people, privacy safeguards must also be considered and implemented. With these data safeguards in place, health digital twins could integrate digital clinical trials and be necessary participants in the generation of real-world evidence, which could positively change both fields.
翻译：数字健康双胞胎可以被定义为自然人的虚拟模型,在此特定情况下,是一个病人。这种虚拟模型由从临床、分子和治疗参数到传感器数据和生活条件的多维数据构成。在计算病理学中,非常重要的是从图像捐赠者获得的信息来创建计算模型,因此,将数字双胞胎纳入该领域至关重要。然而,由于这些虚拟实体从自然人那里收集敏感数据,隐私保障也必须得到考虑和实施。有了这些数据保障,保健数字双胞胎可以纳入数字临床试验,并成为产生真实世界证据的必要参与者,这可以积极改变这两个领域。
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