Department of Surgery and Clinical and Experimental Medicine, Linköping University, 581 83, Linköping, Sweden.
Department of Immunotechnology, Lund University, Medicon Village, Scheelevägen, Lund, Sweden.
Genome Med. 2019 Dec 31;12(1):4. doi: 10.1186/s13073-019-0701-3.
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.
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。
