数字孪生技术助力个体化医疗。
Digital twins to personalize medicine.
机构信息
Department of Surgery and Clinical and Experimental Medicine, Linköping University, 581 83, Linköping, Sweden.
Department of Immunotechnology, Lund University, Medicon Village, Scheelevägen, Lund, Sweden.
出版信息
Genome Med. 2019 Dec 31;12(1):4. doi: 10.1186/s13073-019-0701-3.
Abstract
Personalized medicine requires the integration and processing of vast amounts of data. Here, we propose a solution to this challenge that is based on constructing Digital Twins. These are high-resolution models of individual patients that are computationally treated with thousands of drugs to find the drug that is optimal for the patient.
摘要
个性化医疗需要整合和处理大量数据。在这里，我们提出了一种基于构建数字孪生的解决方案来应对这一挑战。这些是个体患者的高分辨率模型，通过计算处理数千种药物，以找到最适合患者的药物。
Zotero 插件