Translation of Digital Health Technologies to Advance Precision Medicine: Informing Regulatory Science.

Q1 Computer Science Digital Biomarkers Pub Date : 2020-01-01 DOI:10.1159/000505289
Joan E Adamo, Robert V Bienvenu Ii, Felipe Dolz, Michael Liebman, Wendy Nilsen, Scott J Steele
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引用次数: 8

Abstract

The proliferation of digital technologies and the application of sophisticated data analysis techniques are increasingly viewed as having the potential to transform translational research and precision medicine. While digital technologies are rapidly applied in innovative ways to develop new diagnostics and therapies, the ultimate approval and adoption of these emerging methods presents several scientific and regulatory challenges. To better understand and address these regulatory science gaps, a working group of the Clinical and Translational Science Awards Program convened the Regulatory Science to Advance Precision Medicine Forum focused on digital health, particularly examining gaps in the use, validation, and interpretation of data from sensors that collect and tools that analyze digital biomarkers. The key findings and recommendations provided here emerged from the Forum and include the need to enhance areas related to data standards, data quality and validity, knowledge management, and building trust between all stakeholders.

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数字健康技术的翻译,以推进精准医疗:通知监管科学。
数字技术的扩散和复杂数据分析技术的应用越来越被视为有可能改变转化研究和精准医学。虽然数字技术以创新的方式迅速应用于开发新的诊断和治疗方法,但这些新兴方法的最终批准和采用带来了一些科学和监管方面的挑战。为了更好地理解和解决这些监管科学差距,临床和转化科学奖计划的一个工作组召集了监管科学推进精准医学论坛,重点关注数字健康,特别是检查在使用、验证和解释来自传感器收集的数据和分析数字生物标志物的工具方面的差距。这里提出的主要结论和建议来自论坛,包括需要加强与数据标准、数据质量和有效性、知识管理以及在所有利益攸关方之间建立信任相关的领域。
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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来源期刊
Digital Biomarkers
Digital Biomarkers Medicine-Medicine (miscellaneous)
CiteScore
10.60
自引率
0.00%
发文量
12
审稿时长
23 weeks
期刊最新文献
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