论文标题
关于在计算病理学中使用健康数字双胞胎的观点
A perspective on the use of health digital twins in computational pathology
论文作者
论文摘要
在这种特定情况下，数字健康双胞胎可以定义为身体人员的虚拟模型。该虚拟模型由多维数据构成，这些数据可以托管从临床，分子和治疗参数到传感器数据和生活条件。鉴于在计算病理学中，从图像供体中获得创建计算模型的信息非常重要，因此数字双胞胎在该领域的集成可能至关重要。但是，由于这些虚拟实体从身体人员那里收集敏感数据，因此还必须考虑和实施隐私保护措施。有了这些数据保护措施，健康数字双胞胎可以整合数字临床试验，并成为现实证据的产生的必要参与者，这可以积极改变这两个领域。
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.
