背景(考古学)
生物标志物
生物分析
计算机科学
生物标志物发现
灵活性(工程)
数据科学
计算生物学
生化工程
纳米技术
生物
工程类
蛋白质组学
数学
基因
古生物学
生物化学
材料科学
统计
作者
Elizabeth S Hickford,Lien Dejager,Daisy Yuill,Apoorva Kotian,Sucharita P. Shankar,Ludovicus Staelens,Hans Ulrichts,Sion Lewis,Jade Louber,Amanda Williams,Gabrielle S. Le Provost,Paul Cutler
出处
期刊:Bioanalysis
[Newlands Press Ltd]
日期:2023-07-01
卷期号:15 (13): 757-771
被引量:7
标识
DOI:10.4155/bio-2023-0110
摘要
It is widely acknowledged by the bioanalytical and biomarker community that biomarker assay validations should be fit-for-purpose depending on the context of use. The challenge is how to consistently apply these principles in teams responsible for measuring a disparate array of biomarkers, often on multiple analytical platforms, at various stages of the drug discovery and development pipeline and across diverse biology focus areas. To drive consistency, while maintaining the necessary flexibility to allow validations to be driven by scientific rationale and taking into consideration the context of use and associated biological and (pre)analytical factors, a framework applicable across biomarker assays was developed. Herein the authors share their perspective to engage in the ongoing conversation around fit-for-purpose biomarker assay validation.
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