使真实世界的数据加速创新癌症生物标志物的开发。

IF 1.2 Q4 GENETICS & HEREDITY Global Medical Genetics Pub Date : 2023-06-01 DOI:10.1055/s-0043-1768993
Chen Yeh
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引用次数: 0

摘要

过去,分子诊断行业一直依赖于经过消毒的临床试验和商品化的数据源来发现和验证生物标志物,这是一种未经证实的方法,成本极高,消耗资源,而且不能反映出新的生物标志物在更广泛的患者群体中的代表性。为了更准确地了解患者体验,并更有效、更准确地将创新的生物标志物推向市场,该行业正在扩展到扩展的现实世界数据。要访问所需的以患者为中心的数据的广度和深度,诊断公司必须与医疗保健数据分析合作伙伴合作,该合作伙伴拥有以下三个关键资产:(i)具有元数据的广泛而深入的元数据,(ii)数据丰富的提供商网络,以及(iii)支持下一代分子诊断(Dx)和治疗(Rx)开发的结果改进引擎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Enabling Real-World Data to Accelerate the Development of Innovative Cancer Biomarkers.

The molecular diagnostics industry has historically relied on sanitized clinical trials and commoditized data sources to inform its biomarker discovery and validation process-an under-substantiated approach that was ultra-expensive, resource-consuming and did not reflect how representative a new biomarker would be in broader patient populations. In an effort to gain more accurate insight into the patient experience and bring innovative biomarkers to market more efficiently and accurately, the industry is now expanding into extended real-world data. To access the needed breadth and depth of patient-centric data, diagnostic companies must collaborate with a healthcare data analytics partner that has three key assets: (i) a broad and deep megadata with metadata, (ii) a data-rich provider network, and (iii) an outcomes-improvement engine to support the next generation of molecular diagnostics (Dx) and therapeutics (Rx) development.

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来源期刊
Global Medical Genetics
Global Medical Genetics GENETICS & HEREDITY-
自引率
11.80%
发文量
30
审稿时长
14 weeks
期刊最新文献
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