超越糖化血红蛋白：多模式风险概况改善糖尿病预防和诊断

IF 50 1区医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY

Nature Medicine Pub Date : 2025-08-27 DOI:10.1038/s41591-025-03924-z

引用次数: 0

摘要

一个人工智能模型整合了来自连续血糖监测、微生物组分析、身体活动水平和可穿戴传感器的数据，揭示了具有相同HbA1c值的个体之间隐藏的血糖异质性。这些细微差别可以改善分散临床研究中代谢风险的分层。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Beyond HbA1c: multimodal risk profiles improve diabetes prevention and diagnosis

查看原文本刊更多论文

Beyond HbA1c: multimodal risk profiles improve diabetes prevention and diagnosis

An AI model that integrates data from continuous glucose monitoring, microbiome analysis, physical activity levels and wearable sensors reveals hidden glycemic heterogeneity among individuals with identical HbA1c values. These nuances could improve the stratification of metabolic risk in decentralized clinical studies.

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来源期刊

Nature Medicine 医学-生化与分子生物学

CiteScore

100.90

自引率

0.70%

发文量

525

审稿时长

1 months

期刊介绍： Nature Medicine is a monthly journal publishing original peer-reviewed research in all areas of medicine. The publication focuses on originality, timeliness, interdisciplinary interest, and the impact on improving human health. In addition to research articles, Nature Medicine also publishes commissioned content such as News, Reviews, and Perspectives. This content aims to provide context for the latest advances in translational and clinical research, reaching a wide audience of M.D. and Ph.D. readers. All editorial decisions for the journal are made by a team of full-time professional editors. Nature Medicine consider all types of clinical research, including: -Case-reports and small case series -Clinical trials, whether phase 1, 2, 3 or 4 -Observational studies -Meta-analyses -Biomarker studies -Public and global health studies Nature Medicine is also committed to facilitating communication between translational and clinical researchers. As such, we consider “hybrid” studies with preclinical and translational findings reported alongside data from clinical studies.