个性化医疗：重新审视患者
Personalised Medicine: Taking a New Look at the Patient
摘要：
个性化医疗致力于在正确的时间为正确的患者确定正确的治疗方法，整合不同类型的生物和环境信息。这些信息来自各种来源：组学数据（基因组学、蛋白质组学、代谢组学等），活分子诊断和医生常规使用的其它已建立的诊断。集成这些不同类型的数据，这些都是高维的，在知识表示和随后的推理提出了重大挑战。这种建模工作的最终目标是阐明将基因、蛋白质信号和其他生理反应与外部刺激（如环境条件或疾病进展）联系起来的信息流。
英文摘要：
Personalised medicine strives to identify the right treatment for the right patient at the right time, integrating different types of biological and environmental information. Such information come from a variety of sources: omics data (genomic, proteomic, metabolomic, etc.), live molecular diagnostics, and other established diagnostics routinely used by medical doctors. Integrating these different kinds of data, which are all high-dimensional, presents significant challenges in knowledge representation and subsequent reasoning. The ultimate goal of such a modelling effort is to elucidate the flow of information that links genes, protein signalling and other physiological responses to external stimuli such as environmental conditions or the progress of a disease.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
