University of Patras, School of Health Sciences, Department of Pharmacy, University Campus, Rion, Patras, Greece.
EBioMedicine. 2016 Feb 2;5:40-5. doi: 10.1016/j.ebiom.2016.02.001. eCollection 2016 Mar.
Inter-individual variability has been a major hurdle to optimize disease management. Precision medicine holds promise for improving health and healthcare via tailor-made therapeutic strategies. Herein, we outline the paradigm of "pharmacometabolomics-aided pharmacogenomics" in autoimmune diseases. We envisage merging pharmacometabolomic and pharmacogenomic data (to address the interplay of genomic and environmental influences) with information technologies to facilitate data analysis as well as sense- and decision-making on the basis of synergy between artificial and human intelligence. Humans can detect patterns, which computer algorithms may fail to do so, whereas data-intensive and cognitively complex settings and processes limit human ability. We propose that better-informed, rapid and cost-effective omics studies need the implementation of holistic and multidisciplinary approaches.
个体间的差异一直是优化疾病管理的主要障碍。精准医学有望通过定制的治疗策略来改善健康和医疗保健。在此，我们概述了在自身免疫性疾病中“代谢组学辅助药物基因组学”的范例。我们设想将代谢组学和药物基因组学数据（解决基因组和环境影响的相互作用）与信息技术相结合，以促进数据分析，以及基于人工智能和人类智能之间的协同作用进行感知和决策。人类可以发现模式，而计算机算法可能无法做到这一点，而数据密集型和认知复杂的环境和过程限制了人类的能力。我们提出，更好的信息、快速和具有成本效益的组学研究需要实施整体和多学科的方法。
