Reply to: Machine learning-driven virtual biopsy system may increase organ discards at aggressive kidney transplant centers

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Nature Communications Pub Date : 2024-11-29 DOI:10.1038/s41467-024-53703-6
Marc Raynaud, Gillian Divard, Alexandre Loupy
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Abstract

replying to E. Giorgakis et al. Nature Communications https://doi.org/10.1038/s41467-024-53702-7 (2024)

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在积极的肾移植中心,机器学习驱动的虚拟活检系统可能会增加器官丢弃
回复E. Giorgakis等人。自然通讯https://doi.org/10.1038/s41467-024-53702-7 (2024)
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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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