通过视网膜图像看衰老

IF 26.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Nature Biomedical Engineering Pub Date : 2024-11-15 DOI:10.1038/s41551-024-01291-7

Pep Pàmies

引用次数: 0

摘要

深度学习算法识别的视网膜图像中的生物标志物可以预测生物年龄以及死亡率和发病率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Seeing ageing through retinal images

查看原文本刊更多论文

Seeing ageing through retinal images

A biomarker in retinal images identified by a deep-learning algorithm can predict biological age as well as mortality and morbidity.

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来源期刊

Nature Biomedical Engineering Medicine-Medicine (miscellaneous)

CiteScore

45.30

自引率

1.10%

发文量

138

期刊介绍： Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.