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The Science of Sample Management Enabling Discovery from Bench to Clinic

机译:样品管理科学使从台式到临床的发现成为可能

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Within scientific discovery efforts, efficient and compliant tracking and movement of samples, whether chemical, biological, or clinical, are the primary goals of a sample management organization. Sample management practices have advanced significantly during the past 25 years, and the importance of growing and maintaining sample collections has been underscored by high-throughput screening in early drug discovery through to collection and storage of human clinical samples for future biological research in clinical development. Today’s sample management operations can range from centralized and highly automated robotic storage systems with complex data integration, to local manual storage with simple spreadsheets for inventory tracking, to (in more cases than may be admitted) the long-trusted combination of freezer, Sharpie-written label, and the scientist’s memory. Regardless of the selected sample management methodology, this discipline remains necessary and imperative for enabling science from drug discovery to the clinic.
机译:在科学发现工作中,高效且合规的样品追踪(包括化学,生物或临床样品)和移动是样品管理组织的主要目标。在过去的25年中,样品管理实践取得了显着进步,通过在早期药物发现中进行高通量筛选,以及为临床开发中的未来生物学研究收集和存储人类临床样品,高强度筛选突出了增长和维护样品收集的重要性。如今的样品管理操作范围从具有复杂数据集成的集中化和高度自动化的机器人存储系统,到具有用于库存跟踪的简单电子表格的本地手动存储,再到(在更多情况下可能被接受的)冷冻机,Sharpi-书面标签,以及科学家的记忆。无论选择哪种样本管理方法,该学科对于从药物发现到临床的科学发展仍然是必要的和必不可少的。

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