Toward a tipping point in federated learning in healthcare and life sciences.

IF 7.4 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Patterns Pub Date : 2024-11-08 DOI:10.1016/j.patter.2024.101077
Inken Hagestedt, Ian Hales, Eric Boernert, Holger R Roth, Michael A Hoeh, Robin Röhm, Ellie Dobson, José Tomás Prieto
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Abstract

We discuss the real-world application of federated learning (FL) in the healthcare and life sciences industry, noting a tipping point in its adoption beyond academia. Sharing our experiences with multi-hospital and multi-pharma collaborations, we highlight the importance of involving key stakeholders to develop production-grade FL solutions that are fully compliant with stringent privacy and security standards.

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迈向医疗保健和生命科学领域联合学习的临界点。
我们讨论了联合学习(FL)在医疗保健和生命科学行业的实际应用,指出了其在学术界以外的应用临界点。在分享我们与多家医院和多家制药公司合作的经验时,我们强调了主要利益相关者参与开发完全符合严格的隐私和安全标准的生产级联合学习解决方案的重要性。
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
Patterns
Patterns Decision Sciences-Decision Sciences (all)
CiteScore
10.60
自引率
4.60%
发文量
153
审稿时长
19 weeks
期刊介绍:
期刊最新文献
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