迈向多器官，多组学医学数字双胞胎

IF 26.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Nature Biomedical Engineering Pub Date : 2025-08-25 DOI:10.1038/s41551-025-01474-w

Junhao Wen

引用次数: 0

摘要

医疗数字双胞胎有望推进个性化医疗。随着多器官、多组学生物医学数据的快速增长，人工智能可以为人类衰老和疾病提供更全面、更集成的医学数字双胞胎。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Towards a multi-organ, multi-omics medical digital twin

查看原文本刊更多论文

Towards a multi-organ, multi-omics medical digital twin

Medical digital twins hold promises for advancing personalized medicine. With the rapid growth of multi-organ and multi-omics biomedical data, artificial intelligence can drive more holistic and integrated medical digital twins for human ageing and disease.

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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.