Overby Casey Lynnette, Tarczy-Hornoch Peter
Program in Personalized & Genomic Medicine and Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Per Med. 2013 Jul 1;10(5):453-462. doi: 10.2217/pme.13.30.
Personalized medicine can be defined broadly as a model of healthcare that is predictive, personalized, preventive and participatory. Two US President's Council of Advisors on Science and Technology reports illustrate challenges in personalized medicine (in a 2008 report) and in use of health information technology (in a 2010 report). Translational bioinformatics is a field that can help address these challenges and is defined by the American Medical Informatics Association as "the development of storage, analytic and interpretive methods to optimize the transformation of increasing voluminous biomedical data into proactive, predictive, preventative and participatory health." This article discusses barriers to implementing genomics applications and current progress toward overcoming barriers, describes lessons learned from early experiences of institutions engaged in personalized medicine and provides example areas for translational bioinformatics research inquiry.
个性化医疗可以广义地定义为一种具有预测性、个性化、预防性和参与性的医疗保健模式。美国总统科学技术顾问委员会的两份报告阐述了个性化医疗（2008年报告）以及健康信息技术使用（2010年报告）方面的挑战。转化生物信息学是一个有助于应对这些挑战的领域，美国医学信息学协会将其定义为“开发存储、分析和解释方法，以优化将日益大量的生物医学数据转化为主动、预测、预防和参与性医疗的过程”。本文讨论了实施基因组学应用的障碍以及当前克服障碍的进展，描述了从从事个性化医疗的机构早期经验中吸取的教训，并提供了转化生物信息学研究探索的示例领域。
