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A network-heuristic approach to improve the impact of genomic data on drug discovery

机译:一种网络启发式方法,可改善基因组数据对药物发现的影响

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摘要

The explosive growth of molecular diagnostic tests introduces the possibility of increasing our understanding of disease mechanisms in the clinic and promises to improve target identification for new therapies. A new paradigm is emerging in drug discovery that is driven by these clinically derived data. Unfortunately, the translation of novel insights into useful therapies remains costly and difficult. New clinical trial design and open validation of markers may reduce these barriers to clinical utility.
机译:分子诊断测试的爆炸性增长带来了增加我们对临床疾病机制理解的可能性,并有望改善新疗法的靶标识别。由这些临床衍生数据驱动的药物开发中出现了新的范例。不幸的是,将新见解转化为有用的疗法仍然是昂贵且困难的。新的临床试验设计和标记物的公开验证可以减少这些对临床应用的障碍。

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