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Virtual Clinical Trials, an Essential Step in Increasing the Effectiveness of the Drug Development Process

机译:虚拟临床试验,是提高药物开发过程有效性的必不可少的步骤

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Every patient is different - his/her genomes, environment, disease history and exposure to drugs. Tumours, in particular, are often heterogeneous in their genetic make-up and their response to drugs, both within and between samples. Classic clinical trials basically ignore this complexity or, as in stratified medicine, attempt to reduce it to an analysis of a small number of still enormously heterogeneous patient groups. Medicine, however, is not the only area in which we are faced with such complex 'n = 1' (every individual case is different) situations. The weather we experience today, characterised by tens of terabytes of measurement data, has never occurred before and will never occur again. Similar to the situation in medicine, we cannot predict the development of today's weather by looking for identical weather conditions in the past, and we cannot, in real life, test drugs for every individual patient in clinical trials with large numbers of biologically identical patient replicas. We can, however, do it with the help of models duplicating the 'n = 1' situation on the computer, an approach which will also have to be used in both patient treatment and prevention as well as drug development in the future if we do not want to continue to make dangerous and expensive mistakes in real life. (C) 2015 S. Karger AG, Basel
机译:每个患者都是不同的-他/她的基因组,环境,疾病史和药物暴露情况。特别是肿瘤,在样本内部和样本之间,其遗传组成和对药物的反应通常是异质的。经典的临床试验基本上忽略了这种复杂性,或者像在分层医学中一样,试图将其简化为对少数仍然非常不同的患者群体的分析。但是,医学并不是我们面临如此复杂的“ n = 1”(每个个案都不一样)的唯一领域。我们今天经历的天气,以数十兆兆字节的测量数据为特征,从未发生过,也不会再发生。与医学情况类似,我们无法通过寻找过去相同的天气条件来预测当今天气的发展,我们也无法在现实生活中通过大量生物学上相同的患者复制品在临床试验中为每个患者测试药物。但是,我们可以在计算机上复制“ n = 1”情况的模型的帮助下进行此操作,如果我们这样做,将来在患者治疗和预防以及药物开发中也必须使用该方法不想继续在现实生活中犯下危险而昂贵的错误。 (C)2015 S.Karger AG,巴塞尔

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