Multiscale integration of imaging and omics data

成像和组学数据的多尺度整合

• 批准号: DP170104304
• 负责人: Prof Dagan Feng
• 金额: $ 33.9万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-05-15 至 2021-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP170104304
• 关键词: Multiscale; integration; imaging; omics; data

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.

该项目旨在整合多尺度成像和分子数据来诊断患者的疾病。现代医疗保健需要利用“大（健康）数据”的潜力来解决人口老龄化带来的日益增长的医疗保健需求以及患者治疗中的低效和浪费。该项目旨在开拓基础科学研究方法，以整合，关联并从多尺度数据中获取知识，从而在空间和时间上研究个体患者的疾病机制。其综合模型有望成为个性化患者疾病分析框架的基础。