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Precision Medicine: From Omics to Economics towards Data-Driven Healthcare - Time for European Transformation

机译:精密医学:从组学到经济学再到数据驱动的医疗保健-欧洲转型的时机

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摘要

There is room for improvement for optimally bringing the latest science to the patient while taking into account patient priorities such as quality of life. Too often, regulatory agencies, governments, and funding agencies do not stimulate the integration of research into care and vice versa. Re-engineering the drug development process is a priority, and healthcare systems are long due for transformation. On one hand, patients need efficient access to treatments, but despite precision oncology approaches, efficiently shared screening platforms for sorting patients based on the biology of their tumour for trial access are lacking and, on the other hand, the true value of cancer care is poorly addressed as central questions such as dose, scheduling, duration, and combination are not or sub-optimally addressed by registration trials. Solid evidence on those parameters could potentially lead to a rational and wiser use of anti-cancer treatments. Together, optimally targeting patient population and robust comparative effectiveness data could lead to more affordable and economically sound approaches. The drug development process and healthcare models need to be interconnected through redesigned systems taking into account the full math from drug development into affordable care.
机译:在考虑到患者的优先事项(例如生活质量)的同时,还存在改进的空间,可以以最佳方式为患者提供最新的科学知识。监管机构,政府和供资机构通常不会刺激将研究整合到护理中,反之亦然。重新设计药物开发流程是当务之急,医疗保健系统迫切需要转型。一方面,患者需要有效的治疗手段,但是尽管采用了精确的肿瘤学方法,但缺乏有效共享的筛查平台,无法根据患者的肿瘤生物学对患者进行分选以进行试验,另一方面,癌症治疗的真正价值在于由于注册问题未解决或未优化解决核心问题(例如剂量,日程,持续时间和组合),因此未得到很好的解决。这些参数的确凿证据可能会导致合理和更明智地使用抗癌治疗。总之,针对患者人群的最佳选择和可靠的比较有效性数据可导致更实惠,更经济的方法。药物开发过程和医疗保健模型需要通过重新设计的系统进行互连,同时要考虑从药物开发到负担得起的护理的全部数学过程。

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