Multiscale integration of imaging and omics data

该项目旨在整合多尺度成像和分子数据来描述患者的疾病特征。现代医疗保健需要利用(健康)大数据的潜力，以解决老龄化人口日益增长的医疗保健需求，以及患者治疗中的低效和浪费。该项目希望在方法论方面开创基础科学研究的先河，整合、关联并从多尺度数据中获取知识，以表征单个患者在空间和时间上的疾病机制。它的集成模型有望形成个性化患者疾病分析框架的基础。

This project aims to integrate multiscale imaging and molecular data to characterise disease in patients. Modern healthcare needs to embrace ‘big (health) data’s potential to address an ageing population’s increasing healthcare demands and the inefficiencies and waste in patient treatment. This project expects to pioneer basic science research in methodologies to integrate, correlate and then derive knowledge from multi-scale data, to characterise the mechanisms of disease in individual patients, in space and time. Its integrated model is expected to form the basis of a framework for individualised patient disease analysis.