Georgia Institute of Technology, School of Biological Sciences, Krone EBB, Atlanta, USA.
Nat Rev Genet. 2019 Jan;20(1):1-2. doi: 10.1038/s41576-018-0061-7.
Personalized medicine promises to advance and improve health by targeting the right medication to the right person at the right time, thus maximizing the proportion of treated patients who achieve an effective response to therapy. This Comment article makes the complementary argument that equally important benefits will derive from negative prediction, namely by identifying those individuals who are either not actually in need of, or unlikely to respond to, a drug. Reduction of unnecessary prescription could conceivably save health-care systems many billions of dollars with very little detrimental impact on outcomes.
个性化医疗有望通过在恰当的时间为恰当的患者提供恰当的药物来提升和改善健康，从而使治疗有反应的患者比例最大化。本文提出了一个互补的观点，即阴性预测同样重要，它可以识别出那些实际上不需要药物或不太可能对药物有反应的个体。减少不必要的处方用药可能会为医疗保健系统节省数十亿美元，而对结果几乎没有不利影响。
