数字孪生在精准医疗应用中的研究进展和挑战

近年来,数字孪生作为新兴的人工智能技术为精准医疗的发展前景提供了更多可能性。数字孪生技术可以综合利用物体的全方位数据信息构建虚拟实体,通过在实体与虚拟体之间构建的动态连接,提高模型分类、预测的准确性。目前,数字孪生在精准医疗领域的应用不仅包括治疗难度较大的专科疾病,也包括全生命周期、全人群层面的健康管理。但这些应用大多停留于技术模型的设计及利用单中心数据的验证,更多潜在的应用价值有待开发。本文对数字孪生在精准医疗应用中的研究进展和挑战进行归纳综述,为进一步突破技术瓶颈、拓宽应用领域、加快应用落地、强化法律法规提供了思路与方向。

Digital Twin in Precision Medicine Application: Research Progress and Challenges

In recent years, digital twin, as a new artificial intelligence, provides more possibilities for the development of precision medicine. Digital twin can build virtual entities by using comprehensive data information of entities, and improve the accuracy of model classification and prediction through the dynamic connection between entities and virtual entities. At present, the application of digital twin in precision medicine not only includes the specialized diseases treatment, but also includes the entire life cycle and population-wide health management. However, most applications remain the design of models and the validation of single-center data, and more potential value need to be developed. This paper summarizes the research progress and challenges of digital twin application in precision medicine, so as to provide ideas and directions for further breaking through the technical bottleneck, expanding the application field, accelerating the implementation of application, and strengthening laws and regulations.