基于深度学习的综合多组学和常规血液分析：具有成本效益的慢性疾病风险早期预测（vol . Sci. 22/2025）

IF 14.3 1区材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Advanced Science Pub Date : 2025-06-12 DOI:10.1002/advs.202570175

Zhibin Dong, Pei Li, Yi Jiang, Zhihan Wang, Shihui Fu, Hebin Che, Meng Liu, Xiaojing Zhao, Chunlei Liu, Chenghui Zhao, Qin Zhong, Chongyou Rao, Siwei Wang, Suyuan Liu, Dayu Hu, Dongjin Wang, Juntao Gao, Kai Guo, Xinwang Liu, En Zhu, Kunlun He

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引用次数: 0

摘要

慢性病风险的早期预测在文章号2412775中，董志斌、李培、王志汉、郭凯、何昆仑及其同事开发了一种名为Omicsformer的深度学习模型，用于常规血液样本的详细分析和分类。Omicsformer熟练地识别出九种疾病的潜在风险，包括癌症、心血管疾病和精神疾病。对20年大型临床患者的风险轨迹分析证实了该组在临床前风险评估中的有效性，揭示了发病时疾病风险增加的趋势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Integrative Multi-Omics and Routine Blood Analysis Using Deep Learning: Cost-Effective Early Prediction of Chronic Disease Risks (Adv. Sci. 22/2025)

Early Prediction of Chronic Disease Risks

In article number 2412775, Zhibin Dong, Pei Li, Zhihan Wang, Kai Guo, Kunlun He, and co-workers developed a deep learning model called Omicsformer for detailed analysis and classification of routine blood samples. Omicsformer adeptly identified potential risks for nine diseases including cancer, cardiovascular conditions, and psychiatric conditions. Analysis of risk trajectories from 20 years of large clinical patients confirmed the validity of the group in preclinical risk assessment, revealing trends in increased disease risk at the time of onset.

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来源期刊

Advanced Science CHEMISTRY, MULTIDISCIPLINARYNANOSCIENCE &-NANOSCIENCE & NANOTECHNOLOGY

CiteScore

18.90

自引率

2.60%

发文量

1602

审稿时长

1.9 months

期刊介绍： Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.